Add network returning tables

[frauzufall]

This PR introduces a GenericTableNetwork which returns a GenericTable instead of a Dataset.

@HedgehogCode do you have an opinion on the structural changes? Since GenericNetwork was returning Dataset and is used in other peoples Java code / scripts, I did not want to change that, so I introduced an abstract GenericCoreNetwork class where everything from GenericNetwork moved to except the output parameter.

The GenericTableNetwork assumes the network output is singular and has 2 dimensions. Any additional dimensions will be ignored.

These are the changes in this PR:

• upgrade to pom-scijava 27.0.1
• add scijava-plugins-io-table dependency
• rename DefaultOutputProcessor to DatasetOutputProcessor
• add TableOutputProcessor
• move everything but the output parameter from GenericNetwork to GenericCoreNetwork
• make GenericNetwork extending GenericCoreNetwork with Dataset output parameter
• create GenericTableNetwork extending GenericCoreNetwork with GenericTable output parameter
• GenericCoreNetwork: add protected computeOutput method
• change signature of OutputProcessor::run
• ImageTensor: add tilingAllowed attribute
• ImageTensor: make a few methods private

[frauzufall]

Thanks for looking at the code! What bothers me is that the data from the Tensors is first written into a RandomAccessibleInterval before it's converted into e.g. a GenericTable in this case. This seems unnecessary. But it would require deeper structural changes to skip the RAI and for a first version this is ok I guess.