### 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)

if "token" in self.databricks_conn.extra_dejson:
            self.log.info(
                "Using token auth. For security reasons, please set token in Password field instead of extra"
            )
            return self.databricks_conn.extra_dejson["token"]
        elif not self.databricks_conn.login and self.databricks_conn.password:
            self.log.info("Using token auth.")
            return self.databricks_conn.password
        elif "azure_tenant_id" in self.databricks_conn.extra_dejson:
            if self.databricks_conn.login == "" or self.databricks_conn.password == "":
                raise AirflowException("Azure SPN credentials aren't provided")
            self.log.info("Using AAD Token for SPN.")
            return await self._a_get_aad_token(DEFAULT_DATABRICKS_SCOPE)
        elif self.databricks_conn.extra_dejson.get("use_azure_managed_identity", False):
            self.log.info("Using AAD Token for managed identity.")
            await self._a_check_azure_metadata_service()
            return await self._a_get_aad_token(DEFAULT_DATABRICKS_SCOPE)
        elif raise_error:
            raise AirflowException("Token authentication isn't configured")
        return None
    def _log_request_error(self, attempt_num: int, error: str) -> None:
        self.log.error("Attempt %s API Request to Databricks failed with reason: %s", attempt_num, error)
    def _do_api_call(