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]: Blue Spice is a Japanese restaurant which can be found in the city centre, offering food at a moderate price range.
[EX A]: name[Blue Spice], food[Japanese], priceRange[moderate], area[city centre]

[EX Q]: A coffee shop that serves French food and highly rated is Browns Cambridge. It is not family-friendly, but it is by the riverside near Crowne Plaza Hotel.
[EX A]: name[Browns Cambridge], eatType[coffee shop], food[French], customer rating[5 out of 5], area[riverside], familyFriendly[no], near[Crowne Plaza Hotel]

[EX Q]: Zizzi is a non-child friendly coffee shop located near the city centre. While it has high customer reviews, it also has prices ranging from 20-25 pounds.
[EX A]:
name[Zizzi], eatType[coffee shop], priceRange[£20-25], customer rating[high], area[city centre], familyFriendly[no]