### Apache Airflow version

Other Airflow 2 version (please specify below)

### What happened

We are experiencing issue with error log message being shown in every task that is KubernetesPodOperator. We get 

```
{pod_manager.py:558} ERROR - Error parsing timestamp (no timestamp in message ''). Will continue execution but won't update timestamp
```

after execution is finished in every task.

### What you think should happen instead

No such error should be shown

### How to reproduce

```python
'''doc'''
from kubernetes.client import models as k8s
from airflow.providers.cncf.kubernetes.operators.pod import KubernetesPodOperator
from airflow.models import DAG
import pendulum
import datetime

DAG_ID = 'test-dag'

default_args = {
	'owner': 'owner',
	'depends_on_past': False,
	'start_date': datetime.datetime(2023, 9, 15),
	'sla': datetime.timedelta(hours = 1),
	'execution_timeout': datetime.timedelta(hours = 1, minutes = 30),
	'email_on_failure': False,
	'email_on_retry': False,
	'retries': 3,
	'retry_delay': datetime.timedelta(minutes = 1),
	'retry_exponential_backoff': True,
	'max_retry_delay': datetime.timedelta(minutes = 10),
	'max_active_tis_per_dag': 8,
	'pool': 'SomePool',
	'get_logs': True,
}

dag = DAG(
	dag_id = DAG_ID,
	doc_md = __doc__,
	tags = ['tag'],
	schedule = AfterWorkdayTimetable(pendulum.Time(2, 0)),
	default_args = default_args,
	catchup = True,
	dagrun_timeout = datetime.timedelta(hours = 6),
	max_active_runs = 5
)

task = KubernetesPodOperator(
	affinity = {
		'nodeAffinity': {
			'requiredDuringSchedulingIgnoredDuringExecution': {
				'nodeSelectorTerms': [
					{'matchExpressions': [{'key': 'dataDriveSizeClass', 'operator': 'In', 'values': ['large', 'medium']}]}
				]
			}
		}
	},
	priority_class_name = 'l3',
	namespace = 'some--namespace',
	in_cluster = True,
	image_pull_policy = 'IfNotPresent',
	container_resources = k8s.V1ResourceRequirements(
		requests = {'memory': '150Mi', 'cpu': '1m'},
		limits = {'memory': '512Mi', 'cpu': '500m'},
	),
	cmds = [
		'sleep',
		'10'
	],
	dag = dag,
	task_id = 'kubernetes_task',
	labels = {
		'runner': 'airflow',
	},
	annotations = {'version': '1.0.0'},
	image = 'ubuntu',
	env_vars = [k8s.V1EnvVar(name = name, value = value) for name, value in {'name':'value'}.items()]
)

task
```

### Operating System

Debian GNU/Linux 10 (buster)

### Versions of Apache Airflow Providers

```
apache-airflow-providers-amazon==8.4.0
apache-airflow-providers-cncf-kubernetes==7.5.1
apache-airflow-providers-common-sql==1.6.1
apache-airflow-providers-ftp==3.4.2
apache-airflow-providers-http==4.5.0
apache-airflow-providers-imap==3.2.2
apache-airflow-providers-postgres==5.6.0
apache-airflow-providers-slack==7.3.2
apache-airflow-providers-sqlite==3.4.3
```

### Deployment

Other Docker-based deployment

### Deployment details

Kubernetes 1.26.5
airflow 2.6.3
python 3.10.12
LocalExecutor
Database: Postgres 14.6

### Anything else

_No response_

### Are you willing to submit 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)

#
#
from __future__ import annotations
import logging
from datetime import datetime
from json.decoder import JSONDecodeError
from types import SimpleNamespace
from typing import cast
from unittest import mock
from unittest.mock import MagicMock
import pendulum
import pytest
import time_machine
from kubernetes.client.rest import ApiException
from pendulum import DateTime
from pendulum.tz.timezone import Timezone
from urllib3.exceptions import HTTPError as BaseHTTPError
from airflow.exceptions import AirflowException
from airflow.providers.cncf.kubernetes.utils.pod_manager import (
    PodLogsConsumer,
    PodManager,
    PodPhase,
    container_is_running,
    container_is_succeeded,
    container_is_terminated,
)
from airflow.utils.timezone import utc
class TestPodManager: