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:
Pese a que Brasil cerró el año pasado con una exportación récord de 21 millones de sacas del grano, de 60 kilos cada una, el gobierno se comprometió a no realizar embarques por encima de la cuota de 17 millones de sacas entre julio del 2000 y junio del 2001.
Postion	Tokenization
1	Pese
2	a
3	que
4	Brasil
5	cerró
6	el
7	año
8	pasado
9	con
10	una
11	exportación
12	récord
13	de
14	21
15	millones
16	de
17	sacas
18	del
19	grano
20	,
21	de
22	60
23	kilos
24	cada
25	una
26	,
27	el
28	gobierno
29	se
30	comprometió
31	a
32	no
33	realizar
34	embarques
35	por
36	encima
37	de
38	la
39	cuota
40	de
41	17
42	millones
43	de
44	sacas
45	entre
46	julio
47	del
48	2000
49	y
50	junio
51	del
52	2001
53	.
Position	Tokenization	UPOS	Head	Deprel
1	Pese	NOUN	5	mark
2	a	ADP	1	fixed
3	que	SCONJ	1	fixed
4	Brasil	PROPN	5	nsubj
5	cerró	VERB	30	advcl
6	el	DET	7	det
7	año	NOUN	5	obj
8	pasado	ADJ	7	amod
9	con	ADP	11	case
10	una	DET	11	det
11	exportación	NOUN	5	obl
12	récord	ADJ	11	amod
13	de	ADP	15	case
14	21	NUM	15	nummod
15	millones	NOUN	11	nmod
16	de	ADP	17	case
17	sacas	NOUN	15	nmod
18	del	ADP	19	case
19	grano	NOUN	17	nmod
20	,	PUNCT	25	punct
21	de	ADP	23	case
22	60	NUM	23	nummod
23	kilos	NOUN	25	nmod
24	cada	DET	25	det
25	una	PRON	17	appos
26	,	PUNCT	25	punct
27	el	DET	28	det
28	gobierno	NOUN	30	nsubj
29	se	PRON	30	obj
30	comprometió	VERB	0	root
31	a	ADP	33	mark
32	no	ADV	33	advmod
33	realizar	VERB	30	xcomp
34	embarques	NOUN	33	obj
35	por	ADP	39	case
36	encima	ADV	35	fixed
37	de	ADP	35	fixed
38	la	DET	39	det
39	cuota	NOUN	33	obl
40	de	ADP	42	case
41	17	NUM	42	nummod
42	millones	NOUN	39	nmod
43	de	ADP	44	case
44	sacas	NOUN	42	nmod
45	entre	ADP	46	case
46	julio	NOUN	33	obl
47	del	ADP	48	case
48	2000	NUM	46	compound
49	y	CCONJ	50	cc
50	junio	NOUN	46	conj
51	del	ADP	52	case
52	2001	NUM	50	compound
53	.	PUNCT	30	punct