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: Aromi is a fast food coffee shop in an adult only atmosphere located in the city centre with low ratings.
Example Output: name[Aromi], eatType[coffee shop], food[Fast food], customer rating[low], area[city centre], familyFriendly[no]

Example Input: The moderately priced fast food establishment The Rice Boat can be found in the riverside area neat the Express by Holiday Inn. it is kids friendly and has been rated 1 out of 5 by previous customers.
Example Output: name[The Rice Boat], food[Fast food], priceRange[moderate], customer rating[1 out of 5], area[riverside], familyFriendly[yes], near[Express by Holiday Inn]

Example Input: Blue Spice is a nice coffee shop in the Riverside area near Avalon with low prices, a large clientele and a lovely family atmosphere
Example Output:
name[Blue Spice], eatType[coffee shop], priceRange[£20-25], customer rating[high], area[riverside], familyFriendly[yes], near[Avalon]