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]: Cotto serves Indian food and it is located near Café Rouge.
[EX A]: name[Cotto], food[Indian], near[Café Rouge]

[EX Q]: The Phoenix may have an average customer rating, but it is a great high end Italian restaurant located in the city centre.
[EX A]: name[The Phoenix], food[Italian], priceRange[high], customer rating[average], area[city centre]

[EX Q]: Fitzbillies is a cheap Indian food spot, it's a coffee shop style place near Riverside with average ratings and it's family friendly.
[EX A]:
name[Fitzbillies], eatType[coffee shop], food[Indian], priceRange[cheap], customer rating[average], area[riverside], familyFriendly[no]