As a data engineer tasked with designing storage for a data pipeline on Google Cloud, you must handle very large text files. Your design needs to support ANSI SQL queries and enable efficient compression. Furthermore, it is crucial to support parallel loading from the input locations while adhering to Google's recommended best practices. What steps should you take to achieve this?