### 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)

hook = KubernetesHook(conn_id=None, in_cluster=False)
        client = hook.core_v1_client
        name = "test"
        namespace = "default"
        k = KubernetesPodOperator(
            namespace="default",
            image="ubuntu:16.04",
            cmds=["bash", "-cx"],
            arguments=["sleep 1000"],
            labels=self.labels,
            name=name,
            task_id=name,
            in_cluster=False,
            do_xcom_push=False,
            get_logs=False,
            termination_grace_period=0,
        )
        context = create_context(k)
        class ShortCircuitException(Exception):