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:
José María Bermúdez de Castro, codirector del yacimiento, afirmó ayer que los trabajos se extenderán del 15 de junio al 31 de julio, 15 días más de lo habitual, y que el objetivo es ampliar el número de trabajadores (entre especialistas y estudiantes) hasta 200 en cinco años.
Postion	Tokenization
1	José
2	María
3	Bermúdez
4	de
5	Castro
6	,
7	codirector
8	del
9	yacimiento
10	,
11	afirmó
12	ayer
13	que
14	los
15	trabajos
16	se
17	extenderán
18	del
19	15
20	de
21	junio
22	al
23	31
24	de
25	julio
26	,
27	15
28	días
29	más
30	de
31	lo
32	habitual
33	,
34	y
35	que
36	el
37	objetivo
38	es
39	ampliar
40	el
41	número
42	de
43	trabajadores
44	(
45	entre
46	especialistas
47	y
48	estudiantes
49	)
50	hasta
51	200
52	en
53	cinco
54	años
55	.
Position	Tokenization	UPOS	Head	Deprel
1	José	PROPN	11	nsubj
2	María	PROPN	1	flat
3	Bermúdez	PROPN	1	flat
4	de	ADP	5	case
5	Castro	PROPN	1	flat
6	,	PUNCT	7	punct
7	codirector	NOUN	1	appos
8	del	ADP	9	case
9	yacimiento	NOUN	7	nmod
10	,	PUNCT	7	punct
11	afirmó	VERB	0	root
12	ayer	ADV	11	advmod
13	que	SCONJ	17	mark
14	los	DET	15	det
15	trabajos	NOUN	17	nsubj
16	se	PRON	17	expl:pass
17	extenderán	VERB	11	ccomp
18	del	ADP	19	case
19	15	NUM	17	obl
20	de	ADP	21	case
21	junio	NOUN	19	compound
22	al	ADP	23	case
23	31	NUM	19	compound
24	de	ADP	25	case
25	julio	NOUN	23	compound
26	,	PUNCT	28	punct
27	15	NUM	28	nummod
28	días	NOUN	17	obj
29	más	ADV	28	advmod
30	de	ADP	32	case
31	lo	PRON	32	det
32	habitual	ADJ	29	advmod
33	,	PUNCT	38	punct
34	y	CCONJ	38	cc
35	que	SCONJ	38	mark
36	el	DET	37	det
37	objetivo	NOUN	38	nsubj
38	es	AUX	17	conj
39	ampliar	VERB	38	ccomp
40	el	DET	41	det
41	número	NOUN	39	obj
42	de	ADP	43	case
43	trabajadores	NOUN	41	nmod
44	(	PUNCT	46	punct
45	entre	ADP	46	case
46	especialistas	NOUN	43	nmod
47	y	CCONJ	48	cc
48	estudiantes	NOUN	46	conj
49	)	PUNCT	46	punct
50	hasta	ADP	51	case
51	200	NUM	39	obl
52	en	ADP	54	case
53	cinco	NUM	54	nummod
54	años	NOUN	39	obl
55	.	PUNCT	11	punct