### Description

Authentication using OAuth for Databricks Service Principals is now in Public Preview.  I would like to implement this into the Databricks Hook.   By adding "service_principal_oauth" as a boolean value set to `true` in the extra configuration, the Client Id and Client Secret can be supplied as a username and password.

https://docs.databricks.com/dev-tools/authentication-oauth.html

### Use case/motivation

Before Authentication using Oauth the only way to use the Databricks Service Principals was by another user account performing a token request on-behalf of the Service Principal.  This process is difficult to utilize in the real world, but this new way of collecting access tokens changes the process and should make a big difference.

### Related issues

_No response_

### Are you willing to submit a PR?

- [X] Yes I am willing to submit a PR!

### 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)

hook = DatabricksHook(retry_args=DEFAULT_RETRY_ARGS)
        for exception in [
            requests_exceptions.ConnectionError,
            requests_exceptions.SSLError,
            requests_exceptions.Timeout,
            requests_exceptions.ConnectTimeout,
            requests_exceptions.HTTPError,
        ]:
            with mock.patch("airflow.providers.databricks.hooks.databricks_base.requests") as mock_requests:
                with mock.patch.object(hook.log, "error") as mock_errors:
                    setup_mock_requests(mock_requests, exception)
                    with pytest.raises(AirflowException):
                        hook._do_api_call(SUBMIT_RUN_ENDPOINT, {})
                    assert mock_errors.call_count == DEFAULT_RETRY_NUMBER
    @mock.patch("airflow.providers.databricks.hooks.databricks_base.requests")
    def test_do_api_call_patch(self, mock_requests):
        mock_requests.patch.return_value.json.return_value = {"cluster_name": "new_name"}
        data = {"cluster_name": "new_name"}
        patched_cluster_name = self.hook._do_api_call(("PATCH", "api/2.1/jobs/runs/submit"), data)
        assert patched_cluster_name["cluster_name"] == "new_name"
        mock_requests.patch.assert_called_once_with(
            submit_run_endpoint(HOST),
            json={"cluster_name": "new_name"},
            params=None,
            auth=HTTPBasicAuth(LOGIN, PASSWORD),
            headers=self.hook.user_agent_header,
            timeout=self.hook.timeout_seconds,
        )
    @mock.patch("airflow.providers.databricks.hooks.databricks_base.requests")
    def test_submit_run(self, mock_requests):