### 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)

"""Async version of `_check_azure_metadata_service()`."""
        try:
            async with self._session.get(
                url=AZURE_METADATA_SERVICE_INSTANCE_URL,
                params={"api-version": "2021-02-01"},
                headers={"Metadata": "true"},
                timeout=2,
            ) as resp:
                jsn = await resp.json()
            if "compute" not in jsn or "azEnvironment" not in jsn["compute"]:
                raise AirflowException(
                    f"Was able to fetch some metadata, but it doesn't look like Azure Metadata: {jsn}"
                )
        except (requests_exceptions.RequestException, ValueError) as e:
            raise AirflowException(f"Can't reach Azure Metadata Service: {e}")
    def _get_token(self, raise_error: bool = False) -> str | None: