### 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)

self,
        hook_mock,
        await_pod_completion_mock,
        extract_xcom_mock,
        await_xcom_sidecar_container_start_mock,
        caplog,
        test_label,
    ):
        
        await_xcom_sidecar_container_start_mock.return_value = None
        hook_mock.return_value.is_in_cluster = False
        hook_mock.return_value.get_xcom_sidecar_container_image.return_value = None
        hook_mock.return_value.get_xcom_sidecar_container_resources.return_value = None