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:
(Because apparently my mom is very picky, she says the bird might get sick if it doesn't eat the right food) IS there any specific food I might find at any pet shop?
Postion	Tokenization
1	(
2	Because
3	apparently
4	my
5	mom
6	is
7	very
8	picky
9	,
10	she
11	says
12	the
13	bird
14	might
15	get
16	sick
17	if
18	it
19	doesn't
20	does
21	n't
22	eat
23	the
24	right
25	food
26	)
27	IS
28	there
29	any
30	specific
31	food
32	I
33	might
34	find
35	at
36	any
37	pet
38	shop
39	?
Position	Tokenization	UPOS	Head	Deprel
1	(	PUNCT	11	punct
2	Because	SCONJ	8	mark
3	apparently	ADV	8	advmod
4	my	PRON	5	nmod:poss
5	mom	NOUN	8	nsubj
6	is	AUX	8	cop
7	very	ADV	8	advmod
8	picky	ADJ	0	root
9	,	PUNCT	11	punct
10	she	PRON	11	nsubj
11	says	VERB	8	parataxis
12	the	DET	13	det
13	bird	NOUN	16	nsubj
14	might	AUX	16	aux
15	get	VERB	16	aux
16	sick	ADJ	11	ccomp
17	if	SCONJ	21	mark
18	it	PRON	21	nsubj
19	doesn't	_	None	_
20	does	AUX	21	aux
21	n't	PART	21	advmod
22	eat	VERB	16	advcl
23	the	DET	24	det
24	right	ADJ	24	amod
25	food	NOUN	21	obj
26	)	PUNCT	11	punct
27	IS	VERB	8	parataxis
28	there	PRON	26	expl
29	any	DET	30	det
30	specific	ADJ	30	amod
31	food	NOUN	26	nsubj
32	I	PRON	33	nsubj
33	might	AUX	33	aux
34	find	VERB	30	acl:relcl
35	at	ADP	37	case
36	any	DET	37	det
37	pet	NOUN	37	compound
38	shop	NOUN	33	obl
39	?	PUNCT	11	punct