### 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)

"""
        Process the log files and extract useful information out of it.
        If the deploy-mode is 'client', log the output of the submit command as those
        are the output logs of the Spark worker directly.
        Remark: If the driver needs to be tracked for its status, the log-level of the
        spark deploy needs to be at least INFO (log4j.logger.org.apache.spark.deploy=INFO)
        :param itr: An iterator which iterates over the input of the subprocess
        """
        
        for line in itr:
            line = line.strip()
            
            
            if self._is_yarn and self._connection["deploy_mode"] == "cluster":
                match = re.search("application[0-9_]+", line)
                if match:
                    self._yarn_application_id = match.group(0)
                    self.log.info("Identified spark driver id: %s", self._yarn_application_id)
            
            
            elif self._is_kubernetes:
                match = re.search(r"\s*pod name: ((.+?)-([a-z0-9]+)-driver)", line)
                if match:
                    self._kubernetes_driver_pod = match.group(1)
                    self.log.info("Identified spark driver pod: %s", self._kubernetes_driver_pod)
                
                match_exit_code = re.search(r"\s*[eE]xit code: (\d+)", line)
                if match_exit_code:
                    self._spark_exit_code = int(match_exit_code.group(1))