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:
El alcalde de Cervera, Salvador Bordes (CiU), aseguró ayer que los establecimientos de servicios de carretera de la población han recuperado el 50% de su volumen de negocio, por lo que el sector ha dado de nuevo "muestras de alivio".
Postion	Tokenization
1	El
2	alcalde
3	de
4	Cervera
5	,
6	Salvador
7	Bordes
8	(
9	CiU
10	)
11	,
12	aseguró
13	ayer
14	que
15	los
16	establecimientos
17	de
18	servicios
19	de
20	carretera
21	de
22	la
23	población
24	han
25	recuperado
26	el
27	50%
28	de
29	su
30	volumen
31	de
32	negocio
33	,
34	por
35	lo
36	que
37	el
38	sector
39	ha
40	dado
41	de
42	nuevo
43	"
44	muestras
45	de
46	alivio
47	"
48	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	alcalde	NOUN	12	nsubj
3	de	ADP	4	case
4	Cervera	PROPN	2	nmod
5	,	PUNCT	6	punct
6	Salvador	PROPN	2	appos
7	Bordes	PROPN	6	flat
8	(	PUNCT	9	punct
9	CiU	PROPN	6	flat
10	)	PUNCT	9	punct
11	,	PUNCT	6	punct
12	aseguró	VERB	0	root
13	ayer	ADV	12	advmod
14	que	SCONJ	25	mark
15	los	DET	16	det
16	establecimientos	NOUN	25	nsubj
17	de	ADP	18	case
18	servicios	NOUN	16	nmod
19	de	ADP	20	case
20	carretera	NOUN	18	nmod
21	de	ADP	23	case
22	la	DET	23	det
23	población	NOUN	16	nmod
24	han	AUX	25	aux
25	recuperado	VERB	12	ccomp
26	el	DET	27	det
27	50%	SYM	25	obj
28	de	ADP	30	case
29	su	DET	30	det
30	volumen	NOUN	27	nmod
31	de	ADP	32	case
32	negocio	NOUN	30	nmod
33	,	PUNCT	40	punct
34	por	ADP	40	mark
35	lo	PRON	40	det
36	que	PRON	40	obl
37	el	DET	38	det
38	sector	NOUN	40	nsubj
39	ha	AUX	40	aux
40	dado	VERB	25	advcl
41	de	ADP	40	advmod
42	nuevo	ADJ	41	fixed
43	"	PUNCT	44	punct
44	muestras	NOUN	40	obj
45	de	ADP	46	case
46	alivio	NOUN	44	nmod
47	"	PUNCT	44	punct
48	.	PUNCT	12	punct