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:
Esa carta se ha recibido hoy en Londres, un día antes de la visita de trabajo del primer ministro británico, Tony Blair, a Madrid, en una cita fijada el pasado mes de julio y que el Reino Unido no quiere que protagonice el caso "Tireless".
Postion	Tokenization
1	Esa
2	carta
3	se
4	ha
5	recibido
6	hoy
7	en
8	Londres
9	,
10	un
11	día
12	antes
13	de
14	la
15	visita
16	de
17	trabajo
18	del
19	primer
20	ministro
21	británico
22	,
23	Tony
24	Blair
25	,
26	a
27	Madrid
28	,
29	en
30	una
31	cita
32	fijada
33	el
34	pasado
35	mes
36	de
37	julio
38	y
39	que
40	el
41	Reino
42	Unido
43	no
44	quiere
45	que
46	protagonice
47	el
48	caso
49	"
50	Tireless
51	"
52	.
Position	Tokenization	UPOS	Head	Deprel
1	Esa	DET	2	det
2	carta	NOUN	5	nsubj
3	se	PRON	5	expl:pass
4	ha	AUX	5	aux
5	recibido	VERB	0	root
6	hoy	ADV	5	advmod
7	en	ADP	8	case
8	Londres	PROPN	5	obl
9	,	PUNCT	11	punct
10	un	DET	11	det
11	día	NOUN	5	obl
12	antes	ADV	11	advmod
13	de	ADP	15	case
14	la	DET	15	det
15	visita	NOUN	12	obl
16	de	ADP	17	case
17	trabajo	NOUN	15	nmod
18	del	ADP	20	case
19	primer	ADJ	20	amod
20	ministro	NOUN	15	nmod
21	británico	ADJ	20	amod
22	,	PUNCT	23	punct
23	Tony	PROPN	20	appos
24	Blair	PROPN	23	flat
25	,	PUNCT	23	punct
26	a	ADP	27	case
27	Madrid	PROPN	15	nmod
28	,	PUNCT	31	punct
29	en	ADP	31	case
30	una	DET	31	det
31	cita	NOUN	15	nmod
32	fijada	ADJ	31	amod
33	el	DET	35	det
34	pasado	ADJ	35	amod
35	mes	NOUN	32	obl
36	de	ADP	37	case
37	julio	NOUN	35	compound
38	y	CCONJ	44	cc
39	que	PRON	44	iobj
40	el	DET	41	det
41	Reino	PROPN	44	nsubj
42	Unido	PROPN	41	flat
43	no	ADV	44	advmod
44	quiere	VERB	32	conj
45	que	SCONJ	46	mark
46	protagonice	VERB	44	ccomp
47	el	DET	48	det
48	caso	NOUN	46	nsubj
49	"	PUNCT	50	punct
50	Tireless	PROPN	48	appos
51	"	PUNCT	50	punct
52	.	PUNCT	5	punct