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.

Example Input: Browns Cambridge is an Indian restaurant located by the riverside near The Sorrento And It is not Children Friendly
Example Output: name[Browns Cambridge], food[Indian], area[riverside], familyFriendly[yes], near[The Sorrento]

Example Input: For a cheap restaurant with a customer rating of 5 out of 5, try Taste of Cambridge.
Example Output: name[Taste of Cambridge], eatType[restaurant], priceRange[cheap], customer rating[5 out of 5]

Example Input: A fast food restaurant, The Rice Boat is located in the city centre.
Example Output:
name[The Rice Boat], food[Fast food], area[city centre]