In this task, we ask you to parse restaurant descriptions into a structured data table of key-value pairs. Here are the attributes (keys) and their examples values. You should preserve this order when creating the answer: 
 name: The Eagle,... 
 eatType: restaurant, coffee shop,... 
 food: French, Italian,... 
 priceRange: cheap, expensive,... 
 customerRating: 1 of 5 (low), 4 of 5 (high) 
 area: riverside, city center, ... 
 familyFriendly: Yes / No 
 near: Panda Express,...
 The output table may contain all or only some of the attributes but must not contain unlisted attributes. For the output to be considered correct, it also must parse all of the attributes existant in the input sentence; in other words, incomplete parsing would be considered incorrect.

[EX Q]: There is an expensive pub near the Café Brazil called The Cambridge Blue that sell wines and spirits.
[EX A]: name[The Cambridge Blue], eatType[pub], food[French], priceRange[more than £30], near[Café Brazil]

[EX Q]: The adult coffee shop serves fast food for £20-25. It has a high rating and is called Cocum.
[EX A]: name[Cocum], eatType[coffee shop], food[Fast food], priceRange[£20-25], customer rating[high], familyFriendly[no]

[EX Q]: The city centre has a children friendly high priced French restaurant called The Waterman with a customer rating of 3 out of 5.
[EX A]:
name[The Waterman], food[French], priceRange[high], customer rating[3 out of 5], area[city centre], familyFriendly[yes]