### 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)

pass
        
        with mock.patch.object(
            k.pod_manager, "await_container_completion", side_effect=ShortCircuitException()
        ):
            
            with mock.patch.object(k, "cleanup"):
                with pytest.raises(ShortCircuitException):
                    k.execute(context)
        
        name = k.pod.metadata.name
        pod = client.read_namespaced_pod(name=name, namespace=namespace)
        assert pod.status.phase == "Running"
        k.on_kill()
        with pytest.raises(ApiException, match=r'pods \\"test.[a-z0-9]+\\" not found'):
            client.read_namespaced_pod(name=name, namespace=namespace)
    def test_reattach_failing_pod_once(self, mock_get_connection):