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:
Calvo, que respondió en el pleno del Parlamento andaluz a una pregunta del grupo socialista sobre este asunto, señaló que dicha medida es "absolutamente destructiva porque va a suponer la desaparición de 2.000 librerías, que no son negocios puros y duros, como no lo son los libros".
Postion	Tokenization
1	Calvo
2	,
3	que
4	respondió
5	en
6	el
7	pleno
8	del
9	Parlamento
10	andaluz
11	a
12	una
13	pregunta
14	del
15	grupo
16	socialista
17	sobre
18	este
19	asunto
20	,
21	señaló
22	que
23	dicha
24	medida
25	es
26	"
27	absolutamente
28	destructiva
29	porque
30	va
31	a
32	suponer
33	la
34	desaparición
35	de
36	2.000
37	librerías
38	,
39	que
40	no
41	son
42	negocios
43	puros
44	y
45	duros
46	,
47	como
48	no
49	lo
50	son
51	los
52	libros
53	"
54	.
Position	Tokenization	UPOS	Head	Deprel
1	Calvo	PROPN	21	nsubj
2	,	PUNCT	4	punct
3	que	PRON	4	nsubj
4	respondió	VERB	1	acl
5	en	ADP	7	case
6	el	DET	7	det
7	pleno	NOUN	4	obl
8	del	ADP	9	case
9	Parlamento	PROPN	7	nmod
10	andaluz	ADJ	9	amod
11	a	ADP	13	case
12	una	DET	13	det
13	pregunta	NOUN	4	obj
14	del	ADP	15	case
15	grupo	NOUN	13	nmod
16	socialista	ADJ	15	amod
17	sobre	ADP	19	case
18	este	DET	19	det
19	asunto	NOUN	13	nmod
20	,	PUNCT	4	punct
21	señaló	VERB	0	root
22	que	SCONJ	28	mark
23	dicha	ADJ	24	amod
24	medida	NOUN	28	nsubj
25	es	AUX	28	cop
26	"	PUNCT	28	punct
27	absolutamente	ADV	28	advmod
28	destructiva	ADJ	21	ccomp
29	porque	SCONJ	32	mark
30	va	AUX	32	aux
31	a	ADP	32	mark
32	suponer	VERB	28	advcl
33	la	DET	34	det
34	desaparición	NOUN	32	obj
35	de	ADP	37	case
36	2.000	NOUN	37	nmod
37	librerías	NOUN	34	nmod
38	,	PUNCT	42	punct
39	que	PRON	42	nsubj
40	no	ADV	42	advmod
41	son	AUX	42	cop
42	negocios	NOUN	37	acl
43	puros	ADJ	42	amod
44	y	CCONJ	45	cc
45	duros	ADJ	43	conj
46	,	PUNCT	49	punct
47	como	SCONJ	49	mark
48	no	ADV	49	advmod
49	lo	PRON	42	advcl
50	son	AUX	49	cop
51	los	DET	52	det
52	libros	NOUN	49	nsubj
53	"	PUNCT	28	punct
54	.	PUNCT	21	punct