### 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.cleanup = MagicMock()
            k.execute(context)
            name = k.pod.metadata.name
            pod = client.read_namespaced_pod(name=name, namespace=namespace)
            while pod.status.phase != "Failed":
                pod = client.read_namespaced_pod(name=name, namespace=namespace)
            assert "already_checked" not in pod.metadata.labels
        
        
        k = get_op()
        
        
        with mock.patch(f"{POD_MANAGER_CLASS}.create_pod") as create_mock:
            with pytest.raises(AirflowException):
                k.execute(context)
            pod = client.read_namespaced_pod(name=name, namespace=namespace)
            assert pod.metadata.labels["already_checked"] == "True"
            create_mock.assert_not_called()
        
        k = get_op()
        
        
        with mock.patch(f"{POD_MANAGER_CLASS}.create_pod") as create_mock:
            with pytest.raises(AirflowException):
                k.execute(context)
            create_mock.assert_called_once()
    def test_using_resources(self, mock_get_connection):