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:
En el encuentro participaron Paraguay y Uruguay con representantes técnicos de los servicios sanitarios ganaderos y de las respectivas asociaciones de productores rurales, mientras que Brasil, Bolivia y Chile lo hicieron sólo a nivel de expertos de los servicios de sanidad oficiales.
Postion	Tokenization
1	En
2	el
3	encuentro
4	participaron
5	Paraguay
6	y
7	Uruguay
8	con
9	representantes
10	técnicos
11	de
12	los
13	servicios
14	sanitarios
15	ganaderos
16	y
17	de
18	las
19	respectivas
20	asociaciones
21	de
22	productores
23	rurales
24	,
25	mientras
26	que
27	Brasil
28	,
29	Bolivia
30	y
31	Chile
32	lo
33	hicieron
34	sólo
35	a
36	nivel
37	de
38	expertos
39	de
40	los
41	servicios
42	de
43	sanidad
44	oficiales
45	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	el	DET	3	det
3	encuentro	NOUN	4	obj
4	participaron	VERB	25	parataxis
5	Paraguay	PROPN	4	nsubj
6	y	CCONJ	7	cc
7	Uruguay	PROPN	5	conj
8	con	ADP	9	case
9	representantes	NOUN	4	obl
10	técnicos	ADJ	9	amod
11	de	ADP	13	case
12	los	DET	13	det
13	servicios	NOUN	9	nmod
14	sanitarios	ADJ	13	amod
15	ganaderos	ADJ	13	amod
16	y	CCONJ	20	cc
17	de	ADP	20	case
18	las	DET	20	det
19	respectivas	ADJ	20	amod
20	asociaciones	NOUN	13	conj
21	de	ADP	22	case
22	productores	NOUN	20	nmod
23	rurales	ADJ	22	amod
24	,	PUNCT	25	punct
25	mientras	CCONJ	0	root
26	que	SCONJ	25	fixed
27	Brasil	PROPN	33	nsubj
28	,	PUNCT	29	punct
29	Bolivia	PROPN	27	conj
30	y	CCONJ	31	cc
31	Chile	PROPN	27	conj
32	lo	PRON	33	obj
33	hicieron	VERB	25	parataxis
34	sólo	ADV	33	advmod
35	a	ADP	34	case
36	nivel	NOUN	34	nmod
37	de	ADP	38	case
38	expertos	NOUN	36	nmod
39	de	ADP	41	case
40	los	DET	41	det
41	servicios	NOUN	38	nmod
42	de	ADP	43	case
43	sanidad	NOUN	41	nmod
44	oficiales	ADJ	41	amod
45	.	PUNCT	25	punct