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:
Juan Antonio Berastegui, miembro del comité de empresa por CCOO, recuerda a Corcuera especialmente en la huelga del 69, cuando formaba parte del jurado de empresa, donde asumió un papel protagonista.
Postion	Tokenization
1	Juan
2	Antonio
3	Berastegui
4	,
5	miembro
6	del
7	comité
8	de
9	empresa
10	por
11	CCOO
12	,
13	recuerda
14	a
15	Corcuera
16	especialmente
17	en
18	la
19	huelga
20	del
21	69
22	,
23	cuando
24	formaba
25	parte
26	del
27	jurado
28	de
29	empresa
30	,
31	donde
32	asumió
33	un
34	papel
35	protagonista
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Juan	PROPN	13	nsubj
2	Antonio	PROPN	1	flat
3	Berastegui	PROPN	1	flat
4	,	PUNCT	5	punct
5	miembro	NOUN	1	appos
6	del	ADP	7	case
7	comité	NOUN	5	nmod
8	de	ADP	9	case
9	empresa	NOUN	7	nmod
10	por	ADP	11	case
11	CCOO	PROPN	5	nmod
12	,	PUNCT	5	punct
13	recuerda	VERB	0	root
14	a	ADP	15	case
15	Corcuera	PROPN	13	obj
16	especialmente	ADV	13	advmod
17	en	ADP	16	case
18	la	DET	19	det
19	huelga	NOUN	16	nmod
20	del	ADP	21	case
21	69	NOUN	19	nmod
22	,	PUNCT	24	punct
23	cuando	SCONJ	24	mark
24	formaba	VERB	21	acl
25	parte	NOUN	24	compound
26	del	ADP	27	case
27	jurado	NOUN	24	obj
28	de	ADP	29	case
29	empresa	NOUN	27	nmod
30	,	PUNCT	24	punct
31	donde	PRON	32	obl
32	asumió	VERB	19	acl
33	un	DET	34	det
34	papel	NOUN	32	obj
35	protagonista	ADJ	34	amod
36	.	PUNCT	13	punct