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.

Browns Cambridge is a high priced Indian restaurant with an average customer rating.
name[Browns Cambridge], food[Indian], priceRange[high], customer rating[average]

Alimentum is a cheap French restaurant located in the city centre near Yippee Noodle Bar with a customer rating of 5 out of 5.
name[Alimentum], food[French], priceRange[cheap], customer rating[5 out of 5], area[city centre], near[Yippee Noodle Bar]

For a special treat be sure not to miss Cotto, an upscale coffee shop located near The Portland Arms.

name[Cotto], eatType[coffee shop], food[French], priceRange[more than £30], customer rating[5 out of 5], area[riverside], near[The Portland Arms]