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:
Brasil fue uno de los impulsores del acuerdo alcanzado el pasado viernes entre los países productores para retener hasta el 20 por ciento de la producción exportable durante los próximos 24 meses.
Postion	Tokenization
1	Brasil
2	fue
3	uno
4	de
5	los
6	impulsores
7	del
8	acuerdo
9	alcanzado
10	el
11	pasado
12	viernes
13	entre
14	los
15	países
16	productores
17	para
18	retener
19	hasta
20	el
21	20
22	por
23	ciento
24	de
25	la
26	producción
27	exportable
28	durante
29	los
30	próximos
31	24
32	meses
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Brasil	PROPN	3	nsubj
2	fue	AUX	3	cop
3	uno	PRON	0	root
4	de	ADP	6	case
5	los	DET	6	det
6	impulsores	NOUN	3	nmod
7	del	ADP	8	case
8	acuerdo	NOUN	6	nmod
9	alcanzado	ADJ	8	amod
10	el	DET	12	det
11	pasado	ADJ	12	amod
12	viernes	NOUN	9	obl
13	entre	ADP	15	case
14	los	DET	15	det
15	países	NOUN	9	obl
16	productores	ADJ	15	amod
17	para	ADP	18	mark
18	retener	VERB	8	acl
19	hasta	ADV	21	advmod
20	el	DET	21	det
21	20	NUM	18	obj
22	por	ADP	23	case
23	ciento	NUM	21	compound
24	de	ADP	26	case
25	la	DET	26	det
26	producción	NOUN	21	nmod
27	exportable	ADJ	26	amod
28	durante	ADP	32	case
29	los	DET	30	det
30	próximos	NOUN	32	nmod
31	24	NUM	30	nummod
32	meses	NOUN	18	obl
33	.	PUNCT	3	punct