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:
El triunfo de Toy Story 2 es aún más notable cuando gran parte de las entradas vendidas han sido infantiles, más baratas en Estados Unidos.
Postion	Tokenization
1	El
2	triunfo
3	de
4	Toy
5	Story
6	2
7	es
8	aún
9	más
10	notable
11	cuando
12	gran
13	parte
14	de
15	las
16	entradas
17	vendidas
18	han
19	sido
20	infantiles
21	,
22	más
23	baratas
24	en
25	Estados
26	Unidos
27	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	triunfo	NOUN	10	nsubj
3	de	ADP	4	case
4	Toy	PROPN	2	nmod
5	Story	PROPN	4	flat
6	2	NUM	4	nummod
7	es	AUX	10	cop
8	aún	ADV	10	advmod
9	más	ADV	8	advmod
10	notable	ADJ	0	root
11	cuando	SCONJ	20	mark
12	gran	ADJ	13	amod
13	parte	NOUN	20	nsubj
14	de	ADP	16	case
15	las	DET	16	det
16	entradas	NOUN	13	nmod
17	vendidas	ADJ	16	amod
18	han	AUX	20	aux
19	sido	AUX	20	cop
20	infantiles	ADJ	10	advcl
21	,	PUNCT	23	punct
22	más	ADV	23	advmod
23	baratas	ADJ	20	amod
24	en	ADP	25	case
25	Estados	PROPN	23	nmod
26	Unidos	PROPN	25	flat
27	.	PUNCT	10	punct