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:
México consideraba que esa redacción era muy ambigua y no concretaba qué obligaciones tendría que imponer a las multinacionales que operan en su territorio, por lo que podía ser utilizado, en particular por sindicatos de otros países, para impedir que una empresa se implantara en el país latinoamericano.
Postion	Tokenization
1	México
2	consideraba
3	que
4	esa
5	redacción
6	era
7	muy
8	ambigua
9	y
10	no
11	concretaba
12	qué
13	obligaciones
14	tendría
15	que
16	imponer
17	a
18	las
19	multinacionales
20	que
21	operan
22	en
23	su
24	territorio
25	,
26	por
27	lo
28	que
29	podía
30	ser
31	utilizado
32	,
33	en
34	particular
35	por
36	sindicatos
37	de
38	otros
39	países
40	,
41	para
42	impedir
43	que
44	una
45	empresa
46	se
47	implantara
48	en
49	el
50	país
51	latinoamericano
52	.
Position	Tokenization	UPOS	Head	Deprel
1	México	PROPN	2	nsubj
2	consideraba	VERB	0	root
3	que	SCONJ	8	mark
4	esa	DET	5	det
5	redacción	NOUN	8	nsubj
6	era	AUX	8	cop
7	muy	ADV	8	advmod
8	ambigua	ADJ	2	ccomp
9	y	CCONJ	11	cc
10	no	ADV	11	advmod
11	concretaba	VERB	8	conj
12	qué	DET	13	det
13	obligaciones	NOUN	16	obj
14	tendría	VERB	11	ccomp
15	que	SCONJ	16	cc
16	imponer	VERB	14	conj
17	a	ADP	19	case
18	las	DET	19	det
19	multinacionales	NOUN	16	obj
20	que	PRON	21	nsubj
21	operan	VERB	19	acl
22	en	ADP	24	case
23	su	DET	24	det
24	territorio	NOUN	21	obl
25	,	PUNCT	27	punct
26	por	ADP	27	case
27	lo	PRON	2	det
28	que	PRON	27	obl
29	podía	AUX	27	aux
30	ser	AUX	27	aux
31	utilizado	VERB	27	case
32	,	PUNCT	33	punct
33	en	ADP	27	obj
34	particular	NOUN	33	fixed
35	por	ADP	33	case
36	sindicatos	NOUN	33	nmod
37	de	ADP	39	case
38	otros	DET	39	det
39	países	NOUN	36	nmod
40	,	PUNCT	33	punct
41	para	ADP	42	mark
42	impedir	VERB	27	advcl
43	que	SCONJ	47	mark
44	una	DET	45	det
45	empresa	NOUN	47	nsubj
46	se	PRON	47	expl:pass
47	implantara	VERB	42	ccomp
48	en	ADP	50	case
49	el	DET	50	det
50	país	NOUN	47	obl
51	latinoamericano	ADJ	50	amod
52	.	PUNCT	2	punct