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:
se enteró su rival, el checo Daniel Vacek, todos los espectadores de la pista siete, y, dado el volumen de su lamento, se diría que se percataron hasta aquellos que degustaban por 900 pesetas una hamburguesa en una área de reposo no muy cercana.
Postion	Tokenization
1	se
2	enteró
3	su
4	rival
5	,
6	el
7	checo
8	Daniel
9	Vacek
10	,
11	todos
12	los
13	espectadores
14	de
15	la
16	pista
17	siete
18	,
19	y
20	,
21	dado
22	el
23	volumen
24	de
25	su
26	lamento
27	,
28	se
29	diría
30	que
31	se
32	percataron
33	hasta
34	aquellos
35	que
36	degustaban
37	por
38	900
39	pesetas
40	una
41	hamburguesa
42	en
43	una
44	área
45	de
46	reposo
47	no
48	muy
49	cercana
50	.
Position	Tokenization	UPOS	Head	Deprel
1	se	PRON	2	expl:pv
2	enteró	VERB	0	root
3	su	DET	4	det
4	rival	NOUN	2	nsubj
5	,	PUNCT	7	punct
6	el	DET	7	det
7	checo	NOUN	4	appos
8	Daniel	PROPN	7	appos
9	Vacek	PROPN	8	flat
10	,	PUNCT	7	punct
11	todos	DET	12	det
12	los	DET	13	det
13	espectadores	NOUN	4	appos
14	de	ADP	16	case
15	la	DET	16	det
16	pista	NOUN	13	nmod
17	siete	NUM	16	nummod
18	,	PUNCT	29	punct
19	y	CCONJ	29	cc
20	,	PUNCT	21	punct
21	dado	VERB	29	advcl
22	el	DET	23	det
23	volumen	NOUN	21	nsubj
24	de	ADP	26	case
25	su	DET	26	det
26	lamento	NOUN	23	nmod
27	,	PUNCT	21	punct
28	se	PRON	29	expl:pass
29	diría	VERB	2	conj
30	que	SCONJ	32	mark
31	se	PRON	32	expl:pv
32	percataron	VERB	29	csubj
33	hasta	ADV	36	advmod
34	aquellos	PRON	36	nmod
35	que	PRON	36	nsubj
36	degustaban	VERB	32	csubj
37	por	ADP	39	case
38	900	NUM	39	nummod
39	pesetas	NOUN	36	obl
40	una	DET	41	det
41	hamburguesa	NOUN	36	obj
42	en	ADP	44	case
43	una	DET	44	det
44	área	NOUN	36	obl
45	de	ADP	46	case
46	reposo	NOUN	44	nmod
47	no	ADV	49	advmod
48	muy	ADV	49	advmod
49	cercana	ADJ	44	amod
50	.	PUNCT	2	punct