### 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)

fail_state = "STOPPED"
        mock_conn.get_application.return_value = {"application": {"state": fail_state}}
        mock_conn.create_application.return_value = {
            "applicationId": application_id,
            "ResponseMetadata": {"HTTPStatusCode": 200},
        }
        operator = EmrServerlessCreateApplicationOperator(
            task_id=task_id,
            release_label=release_label,
            job_type=job_type,
            client_request_token=client_request_token,
            config=config,
        )
        with pytest.raises(AirflowException) as ex_message:
            operator.execute(None)
        assert str(ex_message.value) == f"Application reached failure state {fail_state}."
        mock_conn.create_application.assert_called_once_with(
            clientToken=client_request_token,
            releaseLabel=release_label,
            type=job_type,
            **config,
        )
class TestEmrServerlessStartJobOperator:
    @mock.patch("airflow.providers.amazon.aws.hooks.emr.EmrServerlessHook.conn")
    def test_job_run_app_started(self, mock_conn):