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 "encanto" de Mesic es más evidente aún si se tiene en cuenta que tanto él como Budisa han prometido que, si asumen el poder, recortarán los amplios poderes presidenciales de los que disfrutó Tudjman e intentarán mejorar la imagen internacional del país y atraer la ayuda financiera.
Postion	Tokenization
1	El
2	"
3	encanto
4	"
5	de
6	Mesic
7	es
8	más
9	evidente
10	aún
11	si
12	se
13	tiene
14	en
15	cuenta
16	que
17	tanto
18	él
19	como
20	Budisa
21	han
22	prometido
23	que
24	,
25	si
26	asumen
27	el
28	poder
29	,
30	recortarán
31	los
32	amplios
33	poderes
34	presidenciales
35	de
36	los
37	que
38	disfrutó
39	Tudjman
40	e
41	intentarán
42	mejorar
43	la
44	imagen
45	internacional
46	del
47	país
48	y
49	atraer
50	la
51	ayuda
52	financiera
53	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	"	PUNCT	3	punct
3	encanto	NOUN	9	nsubj
4	"	PUNCT	3	punct
5	de	ADP	6	case
6	Mesic	PROPN	3	nmod
7	es	AUX	9	cop
8	más	ADV	9	advmod
9	evidente	ADJ	0	root
10	aún	ADV	9	advmod
11	si	SCONJ	13	mark
12	se	PRON	13	expl:pass
13	tiene	VERB	9	advcl
14	en	ADP	15	case
15	cuenta	NOUN	13	compound
16	que	SCONJ	22	mark
17	tanto	ADV	18	cc
18	él	PRON	22	nsubj
19	como	SCONJ	20	cc
20	Budisa	PROPN	18	conj
21	han	AUX	22	aux
22	prometido	VERB	13	ccomp
23	que	SCONJ	26	mark
24	,	PUNCT	26	punct
25	si	SCONJ	26	mark
26	asumen	VERB	22	ccomp
27	el	DET	28	det
28	poder	NOUN	26	obj
29	,	PUNCT	30	punct
30	recortarán	VERB	26	advcl
31	los	DET	33	det
32	amplios	ADJ	33	amod
33	poderes	NOUN	30	obj
34	presidenciales	ADJ	33	amod
35	de	ADP	37	case
36	los	DET	37	det
37	que	PRON	38	obj
38	disfrutó	VERB	33	acl
39	Tudjman	PROPN	38	nsubj
40	e	CCONJ	41	cc
41	intentarán	VERB	26	conj
42	mejorar	VERB	41	xcomp
43	la	DET	44	det
44	imagen	NOUN	42	obj
45	internacional	ADJ	44	amod
46	del	ADP	47	case
47	país	NOUN	44	nmod
48	y	CCONJ	49	cc
49	atraer	VERB	42	conj
50	la	DET	51	det
51	ayuda	NOUN	49	obj
52	financiera	ADJ	51	amod
53	.	PUNCT	9	punct