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:
Rasgarse ahora las vestiduras por la firmeza negociadora de nuestro vecino del sur, dejando caer en la opinión pública una cifra de afectados claramente hinchada, al objeto de responsabilizar a Marruecos del daño social, constituye una muestra de la peor política posible: culpar a los otros por lo que debimos haber hecho y no tuvimos la voluntad, ni la inteligencia, ni el coraje, de acometer.
Postion	Tokenization
1	Rasgarse
2	Rasgar
3	se
4	ahora
5	las
6	vestiduras
7	por
8	la
9	firmeza
10	negociadora
11	de
12	nuestro
13	vecino
14	del
15	sur
16	,
17	dejando
18	caer
19	en
20	la
21	opinión
22	pública
23	una
24	cifra
25	de
26	afectados
27	claramente
28	hinchada
29	,
30	al
31	objeto
32	de
33	responsabilizar
34	a
35	Marruecos
36	del
37	daño
38	social
39	,
40	constituye
41	una
42	muestra
43	de
44	la
45	peor
46	política
47	posible
48	:
49	culpar
50	a
51	los
52	otros
53	por
54	lo
55	que
56	debimos
57	haber
58	hecho
59	y
60	no
61	tuvimos
62	la
63	voluntad
64	,
65	ni
66	la
67	inteligencia
68	,
69	ni
70	el
71	coraje
72	,
73	de
74	acometer
75	.
Position	Tokenization	UPOS	Head	Deprel
1	Rasgarse	_	None	_
2	Rasgar	VERB	39	csubj
3	se	PRON	1	iobj
4	ahora	ADV	1	advmod
5	las	DET	5	det
6	vestiduras	NOUN	1	obj
7	por	ADP	8	case
8	la	DET	8	det
9	firmeza	NOUN	1	obl
10	negociadora	ADJ	8	amod
11	de	ADP	12	case
12	nuestro	DET	12	det
13	vecino	NOUN	8	nmod
14	del	ADP	14	case
15	sur	NOUN	12	nmod
16	,	PUNCT	16	punct
17	dejando	VERB	1	advcl
18	caer	VERB	16	xcomp
19	en	ADP	20	case
20	la	DET	20	det
21	opinión	NOUN	17	obl
22	pública	ADJ	20	amod
23	una	DET	23	det
24	cifra	NOUN	17	obj
25	de	ADP	25	case
26	afectados	NOUN	23	nmod
27	claramente	ADV	27	advmod
28	hinchada	ADJ	23	amod
29	,	PUNCT	32	punct
30	al	ADP	32	mark
31	objeto	NOUN	29	fixed
32	de	ADP	29	fixed
33	responsabilizar	VERB	16	advcl
34	a	ADP	34	case
35	Marruecos	PROPN	32	obj
36	del	ADP	36	case
37	daño	NOUN	32	obj
38	social	ADJ	36	amod
39	,	PUNCT	32	punct
40	constituye	VERB	0	root
41	una	DET	41	det
42	muestra	NOUN	39	obj
43	de	ADP	45	case
44	la	DET	45	det
45	peor	ADJ	45	amod
46	política	NOUN	41	nmod
47	posible	ADJ	45	amod
48	:	PUNCT	48	punct
49	culpar	VERB	45	acl
50	a	ADP	51	case
51	los	DET	51	det
52	otros	PRON	48	obj
53	por	ADP	57	mark
54	lo	PRON	57	det
55	que	PRON	57	obj
56	debimos	AUX	57	aux
57	haber	AUX	57	aux
58	hecho	VERB	48	advcl
59	y	CCONJ	60	cc
60	no	ADV	60	advmod
61	tuvimos	VERB	57	conj
62	la	DET	62	det
63	voluntad	NOUN	60	obj
64	,	PUNCT	66	punct
65	ni	CCONJ	66	cc
66	la	DET	66	det
67	inteligencia	NOUN	62	conj
68	,	PUNCT	66	punct
69	ni	CCONJ	70	cc
70	el	DET	70	det
71	coraje	NOUN	62	conj
72	,	PUNCT	70	punct
73	de	ADP	73	mark
74	acometer	VERB	62	acl
75	.	PUNCT	39	punct