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:
"Combatimos la estrategia de la multinacional Heineken, que compra las fábricas para cerrarlas una tras de otra", declaró hoy, Emmanuel Gruand, secretario general de la Federación del sector agroalimentario CGT, que aplaudió la "lucha justa" de los asalariados de Adelshoffen.
Postion	Tokenization
1	"
2	Combatimos
3	la
4	estrategia
5	de
6	la
7	multinacional
8	Heineken
9	,
10	que
11	compra
12	las
13	fábricas
14	para
15	cerrarlas
16	cerrar
17	las
18	una
19	tras
20	de
21	otra
22	"
23	,
24	declaró
25	hoy
26	,
27	Emmanuel
28	Gruand
29	,
30	secretario
31	general
32	de
33	la
34	Federación
35	del
36	sector
37	agroalimentario
38	CGT
39	,
40	que
41	aplaudió
42	la
43	"
44	lucha
45	justa
46	"
47	de
48	los
49	asalariados
50	de
51	Adelshoffen
52	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Combatimos	VERB	23	ccomp
3	la	DET	4	det
4	estrategia	NOUN	2	obj
5	de	ADP	7	case
6	la	DET	7	det
7	multinacional	NOUN	4	nmod
8	Heineken	PROPN	7	appos
9	,	PUNCT	11	punct
10	que	PRON	11	nsubj
11	compra	VERB	7	acl
12	las	DET	13	det
13	fábricas	NOUN	11	obj
14	para	ADP	15	mark
15	cerrarlas	_	None	_
16	cerrar	VERB	11	advcl
17	las	PRON	15	obj
18	una	DET	15	advmod
19	tras	NOUN	17	fixed
20	de	ADP	17	fixed
21	otra	NOUN	17	fixed
22	"	PUNCT	2	punct
23	,	PUNCT	2	punct
24	declaró	VERB	0	root
25	hoy	ADV	23	advmod
26	,	PUNCT	24	punct
27	Emmanuel	PROPN	23	nsubj
28	Gruand	PROPN	26	flat
29	,	PUNCT	29	punct
30	secretario	NOUN	26	appos
31	general	ADJ	29	amod
32	de	ADP	33	case
33	la	DET	33	det
34	Federación	PROPN	29	nmod
35	del	ADP	35	case
36	sector	NOUN	33	nmod
37	agroalimentario	ADJ	35	amod
38	CGT	PROPN	33	flat
39	,	PUNCT	40	punct
40	que	PRON	40	nsubj
41	aplaudió	VERB	26	acl
42	la	DET	43	det
43	"	PUNCT	43	punct
44	lucha	NOUN	40	obj
45	justa	ADJ	43	amod
46	"	PUNCT	43	punct
47	de	ADP	48	case
48	los	DET	48	det
49	asalariados	NOUN	43	nmod
50	de	ADP	50	case
51	Adelshoffen	PROPN	48	nmod
52	.	PUNCT	23	punct