As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
    - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
    - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	big	ADJ	3	amod
3	dog	NOUN	4	nsubj
4	chased	VERB	0	ROOT
5	the	DET	6	det
6	cat	NOUN	4	obj
7	.	PUNCT	4	punct
Generate UD annotations for the following tokenized text:
Or how about visiting the Chicago Botanical Gardens and see the change of colors and enjoy the air, They also have many inside exhibits you might enjoy, food is pretty good to.
Postion	Tokenization
1	Or
2	how
3	about
4	visiting
5	the
6	Chicago
7	Botanical
8	Gardens
9	and
10	see
11	the
12	change
13	of
14	colors
15	and
16	enjoy
17	the
18	air
19	,
20	They
21	also
22	have
23	many
24	inside
25	exhibits
26	you
27	might
28	enjoy
29	,
30	food
31	is
32	pretty
33	good
34	to
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Or	CCONJ	2	cc
2	how	ADV	0	root
3	about	SCONJ	4	mark
4	visiting	VERB	2	advcl
5	the	DET	8	det
6	Chicago	PROPN	8	compound
7	Botanical	PROPN	8	compound
8	Gardens	PROPN	4	obj
9	and	CCONJ	10	cc
10	see	VERB	4	conj
11	the	DET	12	det
12	change	NOUN	10	obj
13	of	ADP	14	case
14	colors	NOUN	12	nmod
15	and	CCONJ	16	cc
16	enjoy	VERB	10	conj
17	the	DET	18	det
18	air	NOUN	16	obj
19	,	PUNCT	2	punct
20	They	PRON	22	nsubj
21	also	ADV	22	advmod
22	have	VERB	2	parataxis
23	many	ADJ	25	amod
24	inside	ADJ	25	amod
25	exhibits	NOUN	22	obj
26	you	PRON	28	nsubj
27	might	AUX	28	aux
28	enjoy	VERB	25	acl:relcl
29	,	PUNCT	2	punct
30	food	NOUN	33	nsubj
31	is	AUX	33	cop
32	pretty	ADV	33	advmod
33	good	ADJ	2	parataxis
34	to	ADV	33	advmod
35	.	PUNCT	2	punct