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:
Entre el 5 y el 6 de junio se encontrarán en Bremen cerca de 200 expertos de Europa y Sudamérica en el XII Congreso Europeo sobre café en el que se tratarán diversos temas entre los que están los peligros de la tecnología genética y la búsqueda de nuevos caminos para la comercialización del grano.
Postion	Tokenization
1	Entre
2	el
3	5
4	y
5	el
6	6
7	de
8	junio
9	se
10	encontrarán
11	en
12	Bremen
13	cerca
14	de
15	200
16	expertos
17	de
18	Europa
19	y
20	Sudamérica
21	en
22	el
23	XII
24	Congreso
25	Europeo
26	sobre
27	café
28	en
29	el
30	que
31	se
32	tratarán
33	diversos
34	temas
35	entre
36	los
37	que
38	están
39	los
40	peligros
41	de
42	la
43	tecnología
44	genética
45	y
46	la
47	búsqueda
48	de
49	nuevos
50	caminos
51	para
52	la
53	comercialización
54	del
55	grano
56	.
Position	Tokenization	UPOS	Head	Deprel
1	Entre	ADP	3	case
2	el	DET	3	det
3	5	NUM	10	obl
4	y	CCONJ	6	cc
5	el	DET	6	det
6	6	NUM	3	conj
7	de	ADP	8	case
8	junio	NOUN	6	compound
9	se	PRON	10	expl:pass
10	encontrarán	VERB	0	root
11	en	ADP	12	case
12	Bremen	PROPN	10	obl
13	cerca	ADV	16	advmod
14	de	ADP	13	fixed
15	200	NUM	16	nummod
16	expertos	NOUN	10	nsubj
17	de	ADP	18	case
18	Europa	PROPN	16	nmod
19	y	CCONJ	20	cc
20	Sudamérica	PROPN	18	conj
21	en	ADP	23	case
22	el	DET	23	det
23	XII	PROPN	10	obl
24	Congreso	PROPN	23	flat
25	Europeo	PROPN	23	flat
26	sobre	ADP	27	case
27	café	NOUN	23	nmod
28	en	ADP	30	case
29	el	DET	30	det
30	que	PRON	32	obl
31	se	PRON	32	expl:pass
32	tratarán	VERB	23	acl
33	diversos	DET	34	det
34	temas	NOUN	32	nsubj
35	entre	ADP	37	case
36	los	DET	37	det
37	que	PRON	38	obj
38	están	VERB	34	acl
39	los	DET	40	det
40	peligros	NOUN	38	nsubj
41	de	ADP	43	case
42	la	DET	43	det
43	tecnología	NOUN	40	nmod
44	genética	ADJ	43	amod
45	y	CCONJ	47	cc
46	la	DET	47	det
47	búsqueda	NOUN	40	conj
48	de	ADP	50	case
49	nuevos	ADJ	50	amod
50	caminos	NOUN	47	nmod
51	para	ADP	53	case
52	la	DET	53	det
53	comercialización	NOUN	50	nmod
54	del	ADP	55	case
55	grano	NOUN	53	nmod
56	.	PUNCT	10	punct