### Apache Airflow version

Other Airflow 2 version (please specify below)

### What happened

Hi,
I noticed an issue with `DatabricksRunNowDeferrableOperator` and Databricks OAuth connecion.

I am using Airflow 2.7.0 and databricks provider 4.5.0 (latest).

I created a [Databricks connection](https://airflow.apache.org/docs/apache-airflow-providers-databricks/stable/connections/databricks.html) using [Databricks oauth](https://docs.databricks.com/en/dev-tools/authentication-oauth.html) (so with a usename, password + extra `service_principal_oauth: true`)
I ran a DAG with a  `DatabricksRunNowDeferrableOperator`. My databricks job is started by airflow without any issue, but the task is immediatly in failure with the following stacktrace:

```
[2023-09-18, 09:33:51 UTC] {taskinstance.py:1720} ERROR - Trigger failed:
Traceback (most recent call last):
  File "/home/airflow/.local/lib/python3.11/site-packages/airflow/jobs/triggerer_job_runner.py", line 527, in cleanup_finished_triggers
    result = details["task"].result()
             ^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/airflow/.local/lib/python3.11/site-packages/airflow/jobs/triggerer_job_runner.py", line 599, in run_trigger
    async for event in trigger.run():
  File "/home/airflow/.local/lib/python3.11/site-packages/airflow/providers/databricks/triggers/databricks.py", line 83, in run
    run_state = await self.hook.a_get_run_state(self.run_id)
                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/airflow/.local/lib/python3.11/site-packages/airflow/providers/databricks/hooks/databricks.py", line 341, in a_get_run_state
    response = await self._a_do_api_call(GET_RUN_ENDPOINT, json)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/airflow/.local/lib/python3.11/site-packages/airflow/providers/databricks/hooks/databricks_base.py", line 632, in _a_do_api_call
    token = await self._a_get_token()
            ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/airflow/.local/lib/python3.11/site-packages/airflow/providers/databricks/hooks/databricks_base.py", line 540, in _a_get_token
    return await self._a_get_sp_token(OIDC_TOKEN_SERVICE_URL.format(self.databricks_conn.host))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/airflow/.local/lib/python3.11/site-packages/airflow/providers/databricks/hooks/databricks_base.py", line 260, in _a_get_sp_token
    async for attempt in self._a_get_retry_object():
  File "/home/airflow/.local/lib/python3.11/site-packages/tenacity/_asyncio.py", line 71, in __anext__
    do = self.iter(retry_state=self._retry_state)
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/airflow/.local/lib/python3.11/site-packages/tenacity/__init__.py", line 314, in iter
    return fut.result()
           ^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/concurrent/futures/_base.py", line 449, in result
    return self.__get_result()
           ^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/concurrent/futures/_base.py", line 401, in __get_result
    raise self._exception
  File "/home/airflow/.local/lib/python3.11/site-packages/airflow/providers/databricks/hooks/databricks_base.py", line 262, in _a_get_sp_token
    async with self._session.post(
  File "/home/airflow/.local/lib/python3.11/site-packages/aiohttp/client.py", line 1141, in __aenter__
    self._resp = await self._coro
                 ^^^^^^^^^^^^^^^^
  File "/home/airflow/.local/lib/python3.11/site-packages/aiohttp/client.py", line 508, in _request
    req = self._request_class(
          ^^^^^^^^^^^^^^^^^^^^
  File "/home/airflow/.local/lib/python3.11/site-packages/aiohttp/client_reqrep.py", line 310, in __init__
    self.update_auth(auth)
  File "/home/airflow/.local/lib/python3.11/site-packages/aiohttp/client_reqrep.py", line 495, in update_auth
    raise TypeError("BasicAuth() tuple is required instead")
TypeError: BasicAuth() tuple is required instead
[2023-09-18, 09:33:51 UTC] {taskinstance.py:1943} ERROR - Task failed with exception
airflow.exceptions.TaskDeferralError: Trigger failure
```

I tried the exact same DAG with `DatabricksRunNowOperator` and I have no errors. It seems like the triggerer has issue to create a connection with OAuth.

### What you think should happen instead

The `DatabricksRunNowDeferrableOperator` should work with a databricks connection using OAuth. It should work exactly like the `DatabricksRunNowOperator`

### How to reproduce

* Create a databricks service principal and create Client ID and client Secret
* Create a databricks connection with those ID/Secret + extra `service_principal_oauth: true`
* Create a DAG with a `DatabricksRunNowDeferrableOperator`
* Run the DAG and you should see the error

### Operating System

Debian GNU/Linux 11 (bullseye)

### Versions of Apache Airflow Providers

```
apache-airflow-providers-amazon==8.5.1
apache-airflow-providers-celery==3.3.2
apache-airflow-providers-cncf-kubernetes==7.4.2
apache-airflow-providers-common-sql==1.7.0
apache-airflow-providers-daskexecutor==1.0.0
apache-airflow-providers-databricks==4.5.0
apache-airflow-providers-docker==3.7.3
apache-airflow-providers-elasticsearch==5.0.0
apache-airflow-providers-ftp==3.5.0
apache-airflow-providers-google==10.6.0
apache-airflow-providers-grpc==3.2.1
apache-airflow-providers-hashicorp==3.4.2
apache-airflow-providers-http==4.5.0
apache-airflow-providers-imap==3.3.0
apache-airflow-providers-microsoft-azure==6.2.4
apache-airflow-providers-mysql==5.2.1
apache-airflow-providers-odbc==4.0.0
apache-airflow-providers-openlineage==1.0.1
apache-airflow-providers-postgres==5.6.0
apache-airflow-providers-redis==3.3.1
apache-airflow-providers-sendgrid==3.2.1
apache-airflow-providers-sftp==4.5.0
apache-airflow-providers-slack==7.3.2
apache-airflow-providers-snowflake==4.4.2
apache-airflow-providers-sqlite==3.4.3
apache-airflow-providers-ssh==3.7.1
```

### Deployment

Official Apache Airflow Helm Chart

### Deployment details

_No response_

### Anything else

_No response_

### Are you willing to submit PR?

- [X] Yes I am willing to submit a PR! Why not, **but I have currently no idea of the reason**

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

msg = f"Response: {e.response.content.decode()}, Status Code: {e.response.status_code}"
            raise AirflowException(msg)
        return jsn["access_token"]
    def _get_aad_token(self, resource: str) -> str:
        """
        Function to get AAD token for given resource.
        Supports managed identity or service principal auth.
        :param resource: resource to issue token to
        :return: AAD token, or raise an exception
        """
        aad_token = self.oauth_tokens.get(resource)
        if aad_token and self._is_oauth_token_valid(aad_token):
            return aad_token["access_token"]
        self.log.info("Existing AAD token is expired, or going to expire soon. Refreshing...")
        try:
            for attempt in self._get_retry_object():
                with attempt:
                    if self.databricks_conn.extra_dejson.get("use_azure_managed_identity", False):
                        params = {
                            "api-version": "2018-02-01",
                            "resource": resource,
                        }
                        resp = requests.get(
                            AZURE_METADATA_SERVICE_TOKEN_URL,
                            params=params,
                            headers={**self.user_agent_header, "Metadata": "true"},
                            timeout=self.token_timeout_seconds,
                        )
                    else:
                        tenant_id = self.databricks_conn.extra_dejson["azure_tenant_id"]