### 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)

host = self.hook._parse_host(HOST_WITH_SCHEME)
        assert host == HOST
    def test_init_bad_retry_limit(self):
        with pytest.raises(ValueError):
            DatabricksHook(retry_limit=0)
    def test_do_api_call_retries_with_retryable_error(self):
        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
    def test_do_api_call_retries_with_too_many_requests(self):
        hook = DatabricksHook(retry_args=DEFAULT_RETRY_ARGS)
        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, requests_exceptions.HTTPError, status_code=429)
                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_does_not_retry_with_non_retryable_error(self, mock_requests):