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:
Vanek, situado en el puesto 84 del mundo, hizo lo imposible por mantener el duelo pero sus esfuerzos resultaron inútiles ante el mejor tenis del jugador americano, defensor del título.
Postion	Tokenization
1	Vanek
2	,
3	situado
4	en
5	el
6	puesto
7	84
8	del
9	mundo
10	,
11	hizo
12	lo
13	imposible
14	por
15	mantener
16	el
17	duelo
18	pero
19	sus
20	esfuerzos
21	resultaron
22	inútiles
23	ante
24	el
25	mejor
26	tenis
27	del
28	jugador
29	americano
30	,
31	defensor
32	del
33	título
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Vanek	PROPN	11	nsubj
2	,	PUNCT	3	punct
3	situado	ADJ	1	amod
4	en	ADP	6	case
5	el	DET	6	det
6	puesto	NOUN	3	obl
7	84	NUM	6	nummod
8	del	ADP	9	case
9	mundo	NOUN	6	nmod
10	,	PUNCT	3	punct
11	hizo	VERB	0	root
12	lo	PRON	13	det
13	imposible	ADJ	11	obj
14	por	ADP	15	mark
15	mantener	VERB	13	acl
16	el	DET	17	det
17	duelo	NOUN	15	obj
18	pero	CCONJ	21	cc
19	sus	DET	20	det
20	esfuerzos	NOUN	21	nsubj
21	resultaron	VERB	11	conj
22	inútiles	ADJ	21	obj
23	ante	ADP	26	case
24	el	DET	26	det
25	mejor	ADJ	26	amod
26	tenis	NOUN	22	nmod
27	del	ADP	28	case
28	jugador	NOUN	26	nmod
29	americano	ADJ	28	amod
30	,	PUNCT	31	punct
31	defensor	NOUN	28	appos
32	del	ADP	33	case
33	título	NOUN	31	nmod
34	.	PUNCT	11	punct