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:
Las dos próximas reuniones del máximo órgano rector del banco serán el 8 y el 21 de junio, la primera de ellas con rueda de prensa posterior de su presidente, Wim Duisenberg.
Postion	Tokenization
1	Las
2	dos
3	próximas
4	reuniones
5	del
6	máximo
7	órgano
8	rector
9	del
10	banco
11	serán
12	el
13	8
14	y
15	el
16	21
17	de
18	junio
19	,
20	la
21	primera
22	de
23	ellas
24	con
25	rueda
26	de
27	prensa
28	posterior
29	de
30	su
31	presidente
32	,
33	Wim
34	Duisenberg
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	4	det
2	dos	NUM	1	nummod
3	próximas	ADJ	4	amod
4	reuniones	NOUN	13	nsubj
5	del	ADP	7	case
6	máximo	ADJ	7	amod
7	órgano	NOUN	4	nmod
8	rector	ADJ	7	amod
9	del	ADP	10	case
10	banco	NOUN	7	nmod
11	serán	AUX	13	cop
12	el	DET	13	det
13	8	NUM	0	root
14	y	CCONJ	16	cc
15	el	DET	16	det
16	21	NUM	13	conj
17	de	ADP	18	case
18	junio	NOUN	16	compound
19	,	PUNCT	21	punct
20	la	DET	21	det
21	primera	ADJ	13	appos
22	de	ADP	23	case
23	ellas	PRON	21	nmod
24	con	ADP	25	case
25	rueda	NOUN	21	nmod
26	de	ADP	27	case
27	prensa	NOUN	25	nmod
28	posterior	ADJ	25	amod
29	de	ADP	31	case
30	su	DET	31	det
31	presidente	NOUN	25	nmod
32	,	PUNCT	33	punct
33	Wim	PROPN	31	appos
34	Duisenberg	PROPN	33	flat
35	.	PUNCT	13	punct