### Apache Airflow version

2.6.0

### What happened

When marking an EMR Serverless job as failed, the job continues to run.

### What you think should happen instead

The job should be cancelled. Looking at the [EMR Serverless Operator](https://github.com/apache/airflow/blob/a6be96d92828a86e982b53646a9e2eeca00a5463/airflow/providers/amazon/aws/operators/emr.py#L939), I don't see an `on_kill` method, so assuming we just need to add that. 

I'm not sure how to handle the `EmrServerlessCreateApplicationOperator` operator, though - if the workflow has a corresponding `EmrServerlessDeleteApplicationOperator`, we'd probably want to delete the application if the job is cancelled.

### How to reproduce

- Start an EMR Serverless DAG
- Mark the job as failed in the Airflow UI
- See that the EMR Serverless job continues to run

### Operating System

n/a

### Versions of Apache Airflow Providers

`apache-airflow-providers-amazon==8.0.0`

### Deployment

Amazon (AWS) MWAA

### Deployment details

_No response_

### Anything else

_No response_

### Are you willing to submit 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)

waiter_check_interval_seconds: int = 60,
        **kwargs: Any,
    ):
        if waiter_max_attempts is NOTSET:
            warnings.warn(
                "The parameter waiter_countdown has been deprecated to standardize "
                "naming conventions.  Please use waiter_max_attempts instead.  In the "
                "future this will default to None and defer to the waiter's default value."
            )
            
            
            waiter_max_attempts = (waiter_countdown or 999) // waiter_check_interval_seconds
        if waiter_delay is NOTSET:
            warnings.warn(
                "The parameter waiter_check_interval_seconds has been deprecated to "
                "standardize naming conventions.  Please use waiter_delay instead.  In the "
                "future this will default to None and defer to the waiter's default value."
            )
            waiter_delay = waiter_check_interval_seconds
        super().__init__(**kwargs)
        self.aws_conn_id = aws_conn_id
        self.emr_conn_id = emr_conn_id
        self.job_flow_overrides = job_flow_overrides or {}
        self.region_name = region_name
        self.wait_for_completion = wait_for_completion
        self.waiter_max_attempts = waiter_max_attempts
        self.waiter_delay = waiter_delay
        self._job_flow_id: str | None = None
    @cached_property
    def _emr_hook(self) -> EmrHook: