### Description


spark-submit command has one of the options to pass the properties file as argument. Instead of loading multiple key, value via --conf option, this will help to load extra properties from the file path. While we have support for most of the arguments supported in spark-submit command in SparkSubmitOperator, this one `property-files` is missing. Could that be included?
```[root@airflow ~]# spark-submit --help
Usage: spark-submit [options] <app jar | python file | R file> [app arguments]
Usage: spark-submit --kill [submission ID] --master [spark://...]
Usage: spark-submit --status [submission ID] --master [spark://...]
Usage: spark-submit run-example [options] example-class [example args]

Options:

 --conf, -c PROP=VALUE       Arbitrary Spark configuration property.
  --properties-file FILE      Path to a file from which to load extra properties. If not
                              specified, this will look for conf/spark-defaults.conf.
```


### Use case/motivation

Add the property-files as one of the options to pass in the SparkSubmitOperator to load the extra config properties as file

### Related issues

_No response_

### Are you willing to submit a PR?

- [X] 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)

return SparkSubmitHook(
            conf=self._conf,
            conn_id=self._conn_id,
            files=self._files,
            py_files=self._py_files,
            archives=self._archives,
            driver_class_path=self._driver_class_path,
            jars=self._jars,
            java_class=self._java_class,
            packages=self._packages,
            exclude_packages=self._exclude_packages,
            repositories=self._repositories,
            total_executor_cores=self._total_executor_cores,
            executor_cores=self._executor_cores,
            executor_memory=self._executor_memory,
            driver_memory=self._driver_memory,
            keytab=self._keytab,
            principal=self._principal,
            proxy_user=self._proxy_user,
            name=self._name,
            num_executors=self._num_executors,
            status_poll_interval=self._status_poll_interval,
            application_args=self._application_args,
            env_vars=self._env_vars,
            verbose=self._verbose,
            spark_binary=self._spark_binary,
            use_krb5ccache=self._use_krb5ccache,
        )