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:
Agregó que los acuerdos internacionales de retención de café normalmente no son cumplidos por los productores y aseguró que muchas veces Brasil, el mayor productor, es el primero en dar el mal ejemplo.
Postion	Tokenization
1	Agregó
2	que
3	los
4	acuerdos
5	internacionales
6	de
7	retención
8	de
9	café
10	normalmente
11	no
12	son
13	cumplidos
14	por
15	los
16	productores
17	y
18	aseguró
19	que
20	muchas
21	veces
22	Brasil
23	,
24	el
25	mayor
26	productor
27	,
28	es
29	el
30	primero
31	en
32	dar
33	el
34	mal
35	ejemplo
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Agregó	VERB	0	root
2	que	SCONJ	13	mark
3	los	DET	4	det
4	acuerdos	NOUN	13	nsubj
5	internacionales	ADJ	4	amod
6	de	ADP	7	case
7	retención	NOUN	4	nmod
8	de	ADP	9	case
9	café	NOUN	7	nmod
10	normalmente	ADV	13	advmod
11	no	ADV	13	advmod
12	son	AUX	13	aux
13	cumplidos	VERB	1	ccomp
14	por	ADP	16	case
15	los	DET	16	det
16	productores	NOUN	13	obj
17	y	CCONJ	18	cc
18	aseguró	VERB	1	conj
19	que	SCONJ	30	mark
20	muchas	DET	21	det
21	veces	NOUN	30	obl
22	Brasil	PROPN	30	nsubj
23	,	PUNCT	26	punct
24	el	DET	26	det
25	mayor	ADJ	26	amod
26	productor	NOUN	22	appos
27	,	PUNCT	26	punct
28	es	AUX	30	cop
29	el	DET	30	det
30	primero	ADJ	18	ccomp
31	en	ADP	32	mark
32	dar	VERB	30	acl
33	el	DET	35	det
34	mal	ADJ	35	amod
35	ejemplo	NOUN	32	obj
36	.	PUNCT	1	punct