Allow specifying options in load/write functions

Currently, one can load/write data only with specific default options without being able to customize them.

For instancce, in [loadCsv](https://github.com/InseeFrLab/Trevas-Jupyter/blob/main/src/main/java/fr/insee/trevas/jupyter/SparkUtils.java#L70) or writeCsv I cannot specify a different separator from ";". There are [many other options relevant for reading/writing CSV files](https://spark.apache.org/docs/latest/sql-data-sources-csv.html).

loadParquet/writeParquet does not allow to specify options, such as compression (cf. [here](https://spark.apache.org/docs/latest/sql-data-sources-parquet.html)).

I propose to have additional functions, e.g. loadCsvWithParameters that takes as input the path and a Map which allows to specify any options. I am not exactly sure how one can pass a Map in VTL initialized with data. Alternatively one can provide simply a "config" Dataset.class which contains in a dataset with two columns (key,value).