### 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)

mock_requests.codes.ok = 200
        mock_requests.get.return_value.json.return_value = {
            **LIST_JOBS_RESPONSE,
            "jobs": LIST_JOBS_RESPONSE["jobs"] * 2,
        }
        exception_message = f"There are more than one job with name {JOB_NAME}."
        with pytest.raises(AirflowException, match=exception_message):
            self.hook.find_job_id_by_name(JOB_NAME)
        mock_requests.get.assert_called_once_with(
            list_jobs_endpoint(HOST),
            json=None,
            params={"limit": 25, "offset": 0, "expand_tasks": False, "name": JOB_NAME},
            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_connection_success(self, mock_requests):