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:
Boutique stores dealing in children's clothing/gifts are often outrageously priced (who wants to pay 40 dollars for a newborn onesie?)
Postion	Tokenization
1	Boutique
2	stores
3	dealing
4	in
5	children's
6	children
7	's
8	clothing
9	/
10	gifts
11	are
12	often
13	outrageously
14	priced
15	(
16	who
17	wants
18	to
19	pay
20	40
21	dollars
22	for
23	a
24	newborn
25	onesie
26	?
27	)
Position	Tokenization	UPOS	Head	Deprel
1	Boutique	NOUN	2	compound
2	stores	NOUN	13	nsubj:pass
3	dealing	VERB	2	acl
4	in	ADP	7	case
5	children's	_	None	_
6	children	NOUN	7	nmod:poss
7	's	PART	5	case
8	clothing	NOUN	3	obl
9	/	PUNCT	9	cc
10	gifts	NOUN	7	conj
11	are	AUX	13	aux:pass
12	often	ADV	13	advmod
13	outrageously	ADV	13	advmod
14	priced	VERB	0	root
15	(	PUNCT	13	punct
16	who	PRON	16	nsubj
17	wants	VERB	13	parataxis
18	to	PART	18	mark
19	pay	VERB	16	xcomp
20	40	NUM	20	nummod
21	dollars	NOUN	18	obj
22	for	ADP	24	case
23	a	DET	24	det
24	newborn	NOUN	24	compound
25	onesie	NOUN	18	obl
26	?	PUNCT	13	punct
27	)	PUNCT	13	punct