### Description

Add a process_line callback to KubernetesPodOperator 
Like https://github.com/apache/airflow/blob/main/airflow/providers/apache/beam/operators/beam.py#LL304C36-L304C57 the `BeamRunPythonPipelineOperator`, which allows the user to add stateful plugins based on the logging from docker job 

### Use case/motivation

I can add a plugin based on the logging and also allow cleanup on_kill based on the job creation log. 

### Related issues

_No response_

### Are you willing to submit a PR?

- [ ] 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)

pod_name_too_long = "a" * 221
        with pytest.raises(AirflowException):
            KubernetesPodOperator(
                namespace="default",
                image="ubuntu:16.04",
                cmds=["bash", "-cx"],
                arguments=["echo 10"],
                labels=self.labels,
                name=pod_name_too_long,
                task_id=str(uuid4()),
                in_cluster=False,
                do_xcom_push=False,
            )
    def test_on_kill(self, mock_get_connection):