### 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)

k = KubernetesPodOperator(
            namespace="default",
            image="ubuntu:16.04",
            cmds=["bash", "-cx"],
            arguments=["exit 42"],
            task_id=str(uuid4()),
            in_cluster=False,
            do_xcom_push=False,
            is_delete_operator_pod=True,
            skip_on_exit_code=42,
        )
        context = create_context(k)
        with pytest.raises(AirflowSkipException):
            k.execute(context)
    def test_already_checked_on_success(self, mock_get_connection):