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:
Además se establece el seguimiento de los anuncios de ventas al exterior para todos los exportadores (registros de venta) y la compra directa por parte del Fondo Nacional del Café de un mínimo del 20 por ciento del café de la cosecha que se destina a exportar.
Postion	Tokenization
1	Además
2	se
3	establece
4	el
5	seguimiento
6	de
7	los
8	anuncios
9	de
10	ventas
11	al
12	exterior
13	para
14	todos
15	los
16	exportadores
17	(
18	registros
19	de
20	venta
21	)
22	y
23	la
24	compra
25	directa
26	por
27	parte
28	del
29	Fondo
30	Nacional
31	del
32	Café
33	de
34	un
35	mínimo
36	del
37	20
38	por
39	ciento
40	del
41	café
42	de
43	la
44	cosecha
45	que
46	se
47	destina
48	a
49	exportar
50	.
Position	Tokenization	UPOS	Head	Deprel
1	Además	ADV	3	advmod
2	se	PRON	3	expl:pass
3	establece	VERB	0	root
4	el	DET	5	det
5	seguimiento	NOUN	3	obj
6	de	ADP	8	case
7	los	DET	8	det
8	anuncios	NOUN	5	nmod
9	de	ADP	10	case
10	ventas	NOUN	8	nmod
11	al	ADP	12	case
12	exterior	NOUN	10	nmod
13	para	ADP	16	case
14	todos	DET	15	det
15	los	DET	16	det
16	exportadores	NOUN	8	nmod
17	(	PUNCT	18	punct
18	registros	NOUN	8	appos
19	de	ADP	20	case
20	venta	NOUN	18	nmod
21	)	PUNCT	18	punct
22	y	CCONJ	24	cc
23	la	DET	24	det
24	compra	NOUN	5	conj
25	directa	ADJ	24	amod
26	por	ADP	29	case
27	parte	NOUN	26	fixed
28	del	ADP	26	fixed
29	Fondo	PROPN	24	nmod
30	Nacional	PROPN	29	flat
31	del	ADP	32	case
32	Café	PROPN	29	flat
33	de	ADP	37	case
34	un	PRON	37	nmod
35	mínimo	ADJ	34	amod
36	del	ADP	34	case
37	20	NUM	24	nummod
38	por	ADP	39	case
39	ciento	NUM	37	compound
40	del	ADP	41	case
41	café	NOUN	37	nmod
42	de	ADP	44	case
43	la	DET	44	det
44	cosecha	NOUN	37	nmod
45	que	PRON	47	nsubj
46	se	PRON	47	expl:pass
47	destina	VERB	44	acl
48	a	ADP	49	mark
49	exportar	VERB	47	xcomp
50	.	PUNCT	3	punct