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:
Otros también bebían, pero para aturdirse, para olvidar su mala suerte: - En el acuerdo se incluyen a 430 compañeros, pero quedamos otros 50 a los que no nos dan dinero, ni ropa civil, ni nada... a ver qué hago yo ahora si no tengo ni un centavo -.
Postion	Tokenization
1	Otros
2	también
3	bebían
4	,
5	pero
6	para
7	aturdirse
8	aturdir
9	se
10	,
11	para
12	olvidar
13	su
14	mala
15	suerte
16	:
17	-
18	En
19	el
20	acuerdo
21	se
22	incluyen
23	a
24	430
25	compañeros
26	,
27	pero
28	quedamos
29	otros
30	50
31	a
32	los
33	que
34	no
35	nos
36	dan
37	dinero
38	,
39	ni
40	ropa
41	civil
42	,
43	ni
44	nada
45	...
46	a
47	ver
48	qué
49	hago
50	yo
51	ahora
52	si
53	no
54	tengo
55	ni
56	un
57	centavo
58	-
59	.
Position	Tokenization	UPOS	Head	Deprel
1	Otros	PRON	3	nsubj
2	también	ADV	3	advmod
3	bebían	VERB	0	root
4	,	PUNCT	7	punct
5	pero	CCONJ	7	cc
6	para	ADP	7	mark
7	aturdirse	_	None	_
8	aturdir	VERB	3	advcl
9	se	PRON	7	expl:pv
10	,	PUNCT	11	punct
11	para	ADP	11	mark
12	olvidar	VERB	7	conj
13	su	DET	14	det
14	mala	ADJ	14	amod
15	suerte	NOUN	11	obj
16	:	PUNCT	21	punct
17	-	PUNCT	21	punct
18	En	ADP	19	case
19	el	DET	19	det
20	acuerdo	NOUN	21	obl
21	se	PRON	21	expl:pass
22	incluyen	VERB	3	advcl
23	a	ADP	24	case
24	430	NUM	24	nummod
25	compañeros	NOUN	21	obj
26	,	PUNCT	27	punct
27	pero	CCONJ	27	cc
28	quedamos	VERB	21	conj
29	otros	PRON	29	nmod
30	50	NUM	27	nsubj
31	a	ADP	32	case
32	los	DET	32	det
33	que	PRON	35	obj
34	no	ADV	35	advmod
35	nos	PRON	35	iobj
36	dan	VERB	29	advcl
37	dinero	NOUN	35	obj
38	,	PUNCT	39	punct
39	ni	CCONJ	39	cc
40	ropa	NOUN	36	conj
41	civil	ADJ	39	amod
42	,	PUNCT	39	punct
43	ni	CCONJ	43	cc
44	nada	PRON	36	conj
45	...	PUNCT	36	punct
46	a	ADP	46	mark
47	ver	VERB	35	advcl
48	qué	PRON	48	obj
49	hago	VERB	46	ccomp
50	yo	PRON	48	nsubj
51	ahora	ADV	48	advmod
52	si	SCONJ	53	mark
53	no	ADV	53	advmod
54	tengo	VERB	48	advcl
55	ni	ADV	56	advmod
56	un	NUM	56	nummod
57	centavo	NOUN	53	obj
58	-	PUNCT	3	punct
59	.	PUNCT	3	punct