### 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.
self,
        *,
        job_flow_id: str | None = None,
        job_flow_name: str | None = None,
        cluster_states: list[str] | None = None,
        aws_conn_id: str = "aws_default",
        steps: list[dict] | str | None = None,
        wait_for_completion: bool = False,
        waiter_delay: int = 30,
        waiter_max_attempts: int = 60,
        execution_role_arn: str | None = None,
        deferrable: bool = conf.getboolean("operators", "default_deferrable", fallback=False),
        **kwargs,
    ):
        if not exactly_one(job_flow_id is None, job_flow_name is None):
            raise AirflowException("Exactly one of job_flow_id or job_flow_name must be specified.")
        super().__init__(**kwargs)
        cluster_states = cluster_states or []
        steps = steps or []
        self.aws_conn_id = aws_conn_id
        self.job_flow_id = job_flow_id
        self.job_flow_name = job_flow_name
        self.cluster_states = cluster_states
        self.steps = steps
        self.wait_for_completion = False if deferrable else wait_for_completion
        self.waiter_delay = waiter_delay
        self.waiter_max_attempts = waiter_max_attempts
        self.execution_role_arn = execution_role_arn
        self.deferrable = deferrable
    def execute(self, context: Context) -> list[str]: