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:
Señala que, por el contrario, el Gobierno "ha sido sumamente dialogante" con sectores como los ex paramilitares que le han exigido una indemnización por haber luchado junto al Ejército en contra de la guerrilla del FMLN en la pasada guerra civil, así como una comisión liquidadora del banco Credisa.
Postion	Tokenization
1	Señala
2	que
3	,
4	por
5	el
6	contrario
7	,
8	el
9	Gobierno
10	"
11	ha
12	sido
13	sumamente
14	dialogante
15	"
16	con
17	sectores
18	como
19	los
20	ex
21	paramilitares
22	que
23	le
24	han
25	exigido
26	una
27	indemnización
28	por
29	haber
30	luchado
31	junto
32	al
33	Ejército
34	en
35	contra
36	de
37	la
38	guerrilla
39	del
40	FMLN
41	en
42	la
43	pasada
44	guerra
45	civil
46	,
47	así
48	como
49	una
50	comisión
51	liquidadora
52	del
53	banco
54	Credisa
55	.
Position	Tokenization	UPOS	Head	Deprel
1	Señala	VERB	0	root
2	que	SCONJ	14	mark
3	,	PUNCT	4	punct
4	por	ADP	14	advmod
5	el	DET	4	fixed
6	contrario	NOUN	4	fixed
7	,	PUNCT	4	punct
8	el	DET	9	det
9	Gobierno	PROPN	14	nsubj
10	"	PUNCT	14	punct
11	ha	AUX	14	aux
12	sido	AUX	14	cop
13	sumamente	ADV	14	advmod
14	dialogante	ADJ	1	ccomp
15	"	PUNCT	14	punct
16	con	ADP	17	case
17	sectores	NOUN	14	obl
18	como	SCONJ	25	mark
19	los	DET	25	det
20	ex	NOUN	25	nmod
21	paramilitares	ADJ	25	amod
22	que	PRON	25	nsubj
23	le	PRON	25	obj
24	han	AUX	25	aux
25	exigido	VERB	17	acl
26	una	DET	27	det
27	indemnización	NOUN	25	obj
28	por	ADP	30	mark
29	haber	AUX	30	aux
30	luchado	VERB	27	acl
31	junto	ADJ	33	case
32	al	ADP	31	fixed
33	Ejército	PROPN	30	obl
34	en	ADP	38	case
35	contra	NOUN	34	fixed
36	de	ADP	34	fixed
37	la	DET	38	det
38	guerrilla	NOUN	30	obj
39	del	ADP	40	case
40	FMLN	PROPN	38	nmod
41	en	ADP	44	case
42	la	DET	44	det
43	pasada	ADJ	44	amod
44	guerra	NOUN	30	obl
45	civil	ADJ	44	amod
46	,	PUNCT	50	punct
47	así	ADV	50	cc
48	como	SCONJ	47	fixed
49	una	DET	50	det
50	comisión	NOUN	27	conj
51	liquidadora	NOUN	50	nmod
52	del	ADP	53	case
53	banco	NOUN	50	nmod
54	Credisa	PROPN	53	appos
55	.	PUNCT	1	punct