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:
Rato, que se trasladó a Villabrázaro (Zamora) para inaugurar junto con el presidente de Castilla y León, Juan José Lucas, las nuevas instalaciones del grupo Tablicia en esta localidad, afirmó que el Ejecutivo ha solicitado a las dos empresas "una copia exacta de sus planes" y, a partir de ello, "estudiaremos cuáles son las consecuencias para la competencia y para los ciudadanos y consumidores".
Postion	Tokenization
1	Rato
2	,
3	que
4	se
5	trasladó
6	a
7	Villabrázaro
8	(
9	Zamora
10	)
11	para
12	inaugurar
13	junto
14	con
15	el
16	presidente
17	de
18	Castilla
19	y
20	León
21	,
22	Juan
23	José
24	Lucas
25	,
26	las
27	nuevas
28	instalaciones
29	del
30	grupo
31	Tablicia
32	en
33	esta
34	localidad
35	,
36	afirmó
37	que
38	el
39	Ejecutivo
40	ha
41	solicitado
42	a
43	las
44	dos
45	empresas
46	"
47	una
48	copia
49	exacta
50	de
51	sus
52	planes
53	"
54	y
55	,
56	a
57	partir
58	de
59	ello
60	,
61	"
62	estudiaremos
63	cuáles
64	son
65	las
66	consecuencias
67	para
68	la
69	competencia
70	y
71	para
72	los
73	ciudadanos
74	y
75	consumidores
76	"
77	.
Position	Tokenization	UPOS	Head	Deprel
1	Rato	PROPN	36	nsubj
2	,	PUNCT	5	punct
3	que	PRON	5	nsubj
4	se	PRON	5	expl:pv
5	trasladó	VERB	1	acl
6	a	ADP	7	case
7	Villabrázaro	PROPN	5	obl
8	(	PUNCT	9	punct
9	Zamora	PROPN	7	flat
10	)	PUNCT	9	punct
11	para	ADP	12	mark
12	inaugurar	VERB	5	advcl
13	junto	ADJ	16	case
14	con	ADP	13	fixed
15	el	DET	16	det
16	presidente	NOUN	12	obl
17	de	ADP	18	case
18	Castilla	PROPN	16	nmod
19	y	CCONJ	20	cc
20	León	PROPN	18	conj
21	,	PUNCT	22	punct
22	Juan	PROPN	16	appos
23	José	PROPN	22	flat
24	Lucas	PROPN	22	flat
25	,	PUNCT	22	punct
26	las	DET	28	det
27	nuevas	ADJ	28	amod
28	instalaciones	NOUN	12	obj
29	del	ADP	30	case
30	grupo	NOUN	28	nmod
31	Tablicia	PROPN	30	appos
32	en	ADP	34	case
33	esta	DET	34	det
34	localidad	NOUN	12	obl
35	,	PUNCT	5	punct
36	afirmó	VERB	0	root
37	que	SCONJ	41	mark
38	el	DET	39	det
39	Ejecutivo	PROPN	41	nsubj
40	ha	AUX	41	aux
41	solicitado	VERB	36	ccomp
42	a	ADP	45	case
43	las	DET	45	det
44	dos	NUM	43	nummod
45	empresas	NOUN	41	obj
46	"	PUNCT	48	punct
47	una	DET	48	det
48	copia	NOUN	41	obj
49	exacta	ADJ	48	amod
50	de	ADP	52	case
51	sus	DET	52	det
52	planes	NOUN	48	nmod
53	"	PUNCT	48	punct
54	y	CCONJ	62	cc
55	,	PUNCT	59	punct
56	a	ADP	59	case
57	partir	NOUN	56	fixed
58	de	ADP	56	fixed
59	ello	PRON	62	obl
60	,	PUNCT	59	punct
61	"	PUNCT	62	punct
62	estudiaremos	VERB	41	conj
63	cuáles	PRON	66	nsubj
64	son	AUX	66	cop
65	las	DET	66	det
66	consecuencias	NOUN	62	ccomp
67	para	ADP	69	case
68	la	DET	69	det
69	competencia	NOUN	66	nmod
70	y	CCONJ	73	cc
71	para	ADP	73	case
72	los	DET	73	det
73	ciudadanos	NOUN	69	conj
74	y	CCONJ	75	cc
75	consumidores	NOUN	73	conj
76	"	PUNCT	62	punct
77	.	PUNCT	36	punct