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:
Sólo el emocionado Javier Bardem, que le dio la mano y el premio a quien para él es "un maestro y una escuela", podía dar fe de su fugaz presencia.
Postion	Tokenization
1	Sólo
2	el
3	emocionado
4	Javier
5	Bardem
6	,
7	que
8	le
9	dio
10	la
11	mano
12	y
13	el
14	premio
15	a
16	quien
17	para
18	él
19	es
20	"
21	un
22	maestro
23	y
24	una
25	escuela
26	"
27	,
28	podía
29	dar
30	fe
31	de
32	su
33	fugaz
34	presencia
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Sólo	ADV	4	advmod
2	el	DET	4	det
3	emocionado	ADJ	4	amod
4	Javier	PROPN	29	nsubj
5	Bardem	PROPN	4	flat
6	,	PUNCT	9	punct
7	que	PRON	9	nsubj
8	le	PRON	9	iobj
9	dio	VERB	4	acl
10	la	DET	11	det
11	mano	NOUN	9	iobj
12	y	CCONJ	14	cc
13	el	DET	14	det
14	premio	NOUN	11	conj
15	a	ADP	22	mark
16	quien	PRON	22	nsubj
17	para	ADP	18	case
18	él	PRON	22	obj
19	es	AUX	22	cop
20	"	PUNCT	22	punct
21	un	DET	22	det
22	maestro	NOUN	9	ccomp
23	y	CCONJ	25	cc
24	una	DET	25	det
25	escuela	NOUN	22	conj
26	"	PUNCT	22	punct
27	,	PUNCT	9	punct
28	podía	AUX	29	aux
29	dar	VERB	0	root
30	fe	NOUN	29	obj
31	de	ADP	34	case
32	su	DET	34	det
33	fugaz	ADJ	34	amod
34	presencia	NOUN	30	nmod
35	.	PUNCT	29	punct