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:
Y mostró su esperanza en que cuando José María Aznar y Tony Blair se reúnan en Londres, el próximo día 20, los negociadores hayan allanado el camino.
Postion	Tokenization
1	Y
2	mostró
3	su
4	esperanza
5	en
6	que
7	cuando
8	José
9	María
10	Aznar
11	y
12	Tony
13	Blair
14	se
15	reúnan
16	en
17	Londres
18	,
19	el
20	próximo
21	día
22	20
23	,
24	los
25	negociadores
26	hayan
27	allanado
28	el
29	camino
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Y	CCONJ	2	advmod
2	mostró	VERB	0	root
3	su	DET	4	det
4	esperanza	NOUN	2	obj
5	en	ADP	27	mark
6	que	SCONJ	27	mark
7	cuando	SCONJ	15	mark
8	José	PROPN	15	nsubj
9	María	PROPN	8	flat
10	Aznar	PROPN	8	flat
11	y	CCONJ	12	cc
12	Tony	PROPN	8	conj
13	Blair	PROPN	12	flat
14	se	PRON	15	obj
15	reúnan	VERB	27	advcl
16	en	ADP	17	case
17	Londres	PROPN	15	obl
18	,	PUNCT	21	punct
19	el	DET	21	det
20	próximo	ADJ	21	amod
21	día	NOUN	15	obl
22	20	NUM	21	compound
23	,	PUNCT	21	punct
24	los	DET	25	det
25	negociadores	NOUN	27	nsubj
26	hayan	AUX	27	aux
27	allanado	VERB	4	acl
28	el	DET	29	det
29	camino	NOUN	27	obj
30	.	PUNCT	2	punct