### Body

Use `AirflowProviderDeprecationWarning` as warning source in EMR operators and change stacklevel to 2:
https://github.com/apache/airflow/blob/05036e619c0c6dafded1451daac4e07e20aee33f/airflow/providers/amazon/aws/operators/emr.py#L380-L384
https://github.com/apache/airflow/blob/05036e619c0c6dafded1451daac4e07e20aee33f/airflow/providers/amazon/aws/operators/emr.py#L373-L377
https://github.com/apache/airflow/blob/05036e619c0c6dafded1451daac4e07e20aee33f/airflow/providers/amazon/aws/operators/emr.py#L264-L268
https://github.com/apache/airflow/blob/05036e619c0c6dafded1451daac4e07e20aee33f/airflow/providers/amazon/aws/operators/emr.py#L257-L261

### Committer

- [X] I acknowledge that I am a maintainer/committer of the Apache Airflow project.
waiter_max_attempts=self.waiter_max_attempts,
                ),
                timeout=timedelta(seconds=self.waiter_max_attempts * self.waiter_delay),
                method_name="start_application_deferred",
            )
        waiter = self.hook.get_waiter("serverless_app_created")
        wait(
            waiter=waiter,
            waiter_delay=self.waiter_delay,
            waiter_max_attempts=self.waiter_max_attempts,
            args={"applicationId": application_id},
            failure_message="Serverless Application creation failed",
            status_message="Serverless Application status is",
            status_args=["application.state", "application.stateDetails"],
        )
        self.log.info("Starting application %s", application_id)
        self.hook.conn.start_application(applicationId=application_id)
        if self.wait_for_completion:
            waiter = self.hook.get_waiter("serverless_app_started")
            wait(
                waiter=waiter,
                waiter_max_attempts=self.waiter_max_attempts,
                waiter_delay=self.waiter_delay,
                args={"applicationId": application_id},
                failure_message="Serverless Application failed to start",
                status_message="Serverless Application status is",
                status_args=["application.state", "application.stateDetails"],
            )
        return application_id
    def start_application_deferred(self, context: Context, event: dict[str, Any] | None = None) -> None: