### 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)

super().__init__(**kwargs)
        self.job_flow_id = job_flow_id
        self.aws_conn_id = aws_conn_id
    def execute(self, context: Context) -> None:
        emr_hook = EmrHook(aws_conn_id=self.aws_conn_id)
        emr = emr_hook.get_conn()
        EmrClusterLink.persist(
            context=context,
            operator=self,
            region_name=emr_hook.conn_region_name,
            aws_partition=emr_hook.conn_partition,
            job_flow_id=self.job_flow_id,
        )
        EmrLogsLink.persist(
            context=context,
            operator=self,
            region_name=emr_hook.conn_region_name,
            aws_partition=emr_hook.conn_partition,
            job_flow_id=self.job_flow_id,
            log_uri=get_log_uri(emr_client=emr, job_flow_id=self.job_flow_id),
        )
        self.log.info("Terminating JobFlow %s", self.job_flow_id)
        response = emr.terminate_job_flows(JobFlowIds=[self.job_flow_id])
        if not response["ResponseMetadata"]["HTTPStatusCode"] == 200:
            raise AirflowException(f"JobFlow termination failed: {response}")
        else:
            self.log.info("JobFlow with id %s terminated", self.job_flow_id)
class EmrServerlessCreateApplicationOperator(BaseOperator):