### 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)

self,
        application_id: str,
        execution_role_arn: str,
        job_driver: dict,
        configuration_overrides: dict | None,
        client_request_token: str = "",
        config: dict | None = None,
        wait_for_completion: bool = True,
        aws_conn_id: str = "aws_default",
        name: str | None = None,
        waiter_countdown: int = 25 * 60,
        waiter_check_interval_seconds: int = 60,
        **kwargs,
    ):
        self.aws_conn_id = aws_conn_id
        self.application_id = application_id
        self.execution_role_arn = execution_role_arn
        self.job_driver = job_driver
        self.configuration_overrides = configuration_overrides
        self.wait_for_completion = wait_for_completion
        self.config = config or {}
        self.name = name or self.config.pop("name", f"emr_serverless_job_airflow_{uuid4()}")
        self.waiter_countdown = waiter_countdown
        self.waiter_check_interval_seconds = waiter_check_interval_seconds
        super().__init__(**kwargs)
        self.client_request_token = client_request_token or str(uuid4())
    @cached_property
    def hook(self) -> EmrServerlessHook: