### 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)

mock_conn.get_application.return_value = {"application": {"state": "STARTED"}}
        custom_name = "test_name"
        mock_conn.start_job_run.return_value = {
            "jobRunId": job_run_id,
            "ResponseMetadata": {"HTTPStatusCode": 200},
        }
        mock_conn.get_job_run.return_value = {"jobRun": {"state": "SUCCESS"}}
        operator = EmrServerlessStartJobOperator(
            task_id=task_id,
            client_request_token=client_request_token,
            application_id=application_id,
            execution_role_arn=execution_role_arn,
            job_driver=job_driver,
            configuration_overrides=configuration_overrides,
            name=custom_name,
        )
        operator.execute(None)
        mock_conn.start_job_run.assert_called_once_with(
            clientToken=client_request_token,
            applicationId=application_id,
            executionRoleArn=execution_role_arn,
            jobDriver=job_driver,
            configurationOverrides=configuration_overrides,
            name=custom_name,
        )
class TestEmrServerlessDeleteOperator: