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:
El pleno empleo estuvo también en candelero en las conversaciones de Aznar con los interlocutores sociales: CEOE y sindicatos, que se plasmaron en sendas reuniones esta semana con Antonio Gutiérrez y Cándido Méndez, y se cerrarán el Lunes con un encuentro con José María Cuevas.
Postion	Tokenization
1	El
2	pleno
3	empleo
4	estuvo
5	también
6	en
7	candelero
8	en
9	las
10	conversaciones
11	de
12	Aznar
13	con
14	los
15	interlocutores
16	sociales
17	:
18	CEOE
19	y
20	sindicatos
21	,
22	que
23	se
24	plasmaron
25	en
26	sendas
27	reuniones
28	esta
29	semana
30	con
31	Antonio
32	Gutiérrez
33	y
34	Cándido
35	Méndez
36	,
37	y
38	se
39	cerrarán
40	el
41	Lunes
42	con
43	un
44	encuentro
45	con
46	José
47	María
48	Cuevas
49	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	pleno	ADJ	3	amod
3	empleo	NOUN	4	nsubj
4	estuvo	VERB	0	root
5	también	ADV	4	advmod
6	en	ADP	4	advmod
7	candelero	NOUN	6	fixed
8	en	ADP	10	case
9	las	DET	10	det
10	conversaciones	NOUN	4	obl
11	de	ADP	12	case
12	Aznar	PROPN	10	nmod
13	con	ADP	15	case
14	los	DET	15	det
15	interlocutores	NOUN	10	nmod
16	sociales	ADJ	15	amod
17	:	PUNCT	18	punct
18	CEOE	PROPN	15	appos
19	y	CCONJ	20	cc
20	sindicatos	NOUN	18	conj
21	,	PUNCT	24	punct
22	que	PRON	24	nsubj
23	se	PRON	24	expl:pass
24	plasmaron	VERB	10	acl
25	en	ADP	27	case
26	sendas	DET	27	det
27	reuniones	NOUN	24	obl
28	esta	DET	29	det
29	semana	NOUN	24	obl
30	con	ADP	31	case
31	Antonio	PROPN	24	obl
32	Gutiérrez	PROPN	31	flat
33	y	CCONJ	34	cc
34	Cándido	PROPN	31	conj
35	Méndez	PROPN	34	flat
36	,	PUNCT	39	punct
37	y	CCONJ	39	cc
38	se	PRON	39	expl:pass
39	cerrarán	VERB	24	conj
40	el	DET	41	det
41	Lunes	NOUN	39	obl
42	con	ADP	44	case
43	un	DET	44	det
44	encuentro	NOUN	39	obl
45	con	ADP	46	case
46	José	PROPN	44	nmod
47	María	PROPN	46	flat
48	Cuevas	PROPN	46	flat
49	.	PUNCT	4	punct