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:
Un tímido, alto y delgado muchachito de prominentes dientes superiores que le dan una sonrisa permanente apareció en el segundo tiempo del partido que Brasil le ganaba con holgura a Venezuela en el estadio "Tres de Febrero" de Ciudad del Este.
Postion	Tokenization
1	Un
2	tímido
3	,
4	alto
5	y
6	delgado
7	muchachito
8	de
9	prominentes
10	dientes
11	superiores
12	que
13	le
14	dan
15	una
16	sonrisa
17	permanente
18	apareció
19	en
20	el
21	segundo
22	tiempo
23	del
24	partido
25	que
26	Brasil
27	le
28	ganaba
29	con
30	holgura
31	a
32	Venezuela
33	en
34	el
35	estadio
36	"
37	Tres
38	de
39	Febrero
40	"
41	de
42	Ciudad
43	del
44	Este
45	.
Position	Tokenization	UPOS	Head	Deprel
1	Un	DET	7	det
2	tímido	ADJ	7	amod
3	,	PUNCT	4	punct
4	alto	ADJ	2	conj
5	y	CCONJ	6	cc
6	delgado	ADJ	2	conj
7	muchachito	NOUN	18	nsubj
8	de	ADP	10	case
9	prominentes	ADJ	10	amod
10	dientes	NOUN	7	nmod
11	superiores	ADJ	10	amod
12	que	PRON	14	nsubj
13	le	PRON	14	obj
14	dan	VERB	10	acl
15	una	DET	16	det
16	sonrisa	NOUN	14	obj
17	permanente	ADJ	16	amod
18	apareció	VERB	0	root
19	en	ADP	22	case
20	el	DET	22	det
21	segundo	ADJ	22	amod
22	tiempo	NOUN	18	obl
23	del	ADP	24	case
24	partido	NOUN	22	nmod
25	que	PRON	28	obj
26	Brasil	PROPN	28	nsubj
27	le	PRON	28	obj
28	ganaba	VERB	24	acl
29	con	ADP	30	case
30	holgura	NOUN	28	obl
31	a	ADP	32	case
32	Venezuela	PROPN	28	obj
33	en	ADP	35	case
34	el	DET	35	det
35	estadio	NOUN	28	obl
36	"	PUNCT	37	punct
37	Tres	NUM	35	appos
38	de	ADP	39	case
39	Febrero	NOUN	37	compound
40	"	PUNCT	37	punct
41	de	ADP	42	case
42	Ciudad	PROPN	35	nmod
43	del	ADP	44	case
44	Este	PROPN	42	flat
45	.	PUNCT	18	punct