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:
Barbie, pese a su éxito, ha sufrido fuertes críticas por mantener ciertos estereotipos tanto racistas como machistas, dadas sus marcadas curvas y su TALLA imposible.
Postion	Tokenization
1	Barbie
2	,
3	pese
4	a
5	su
6	éxito
7	,
8	ha
9	sufrido
10	fuertes
11	críticas
12	por
13	mantener
14	ciertos
15	estereotipos
16	tanto
17	racistas
18	como
19	machistas
20	,
21	dadas
22	sus
23	marcadas
24	curvas
25	y
26	su
27	TALLA
28	imposible
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Barbie	PROPN	9	nsubj
2	,	PUNCT	6	punct
3	pese	NOUN	6	case
4	a	ADP	3	fixed
5	su	DET	6	det
6	éxito	NOUN	9	obl
7	,	PUNCT	6	punct
8	ha	AUX	9	aux
9	sufrido	VERB	0	root
10	fuertes	ADJ	11	amod
11	críticas	NOUN	9	obj
12	por	ADP	13	mark
13	mantener	VERB	11	acl
14	ciertos	DET	15	det
15	estereotipos	NOUN	13	obj
16	tanto	ADV	17	cc
17	racistas	ADJ	15	amod
18	como	SCONJ	19	cc
19	machistas	ADJ	17	conj
20	,	PUNCT	21	punct
21	dadas	VERB	9	advcl
22	sus	DET	24	det
23	marcadas	ADJ	24	amod
24	curvas	NOUN	21	nsubj
25	y	CCONJ	27	cc
26	su	DET	27	det
27	TALLA	NOUN	24	conj
28	imposible	ADJ	27	amod
29	.	PUNCT	9	punct