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 senador del PSOE por Cuenca y viceportavoz socialista de la Comisión de Peticiones del Senado, Luis Ayllón, ha solicitado la comparecencia en la Cámara Alta del ministro de Fomento, Francisco Alvarez Cascos, con el fin de que informe sobre el proyecto de línea de AVE Madrid-Levante.
Postion	Tokenization
1	El
2	senador
3	del
4	PSOE
5	por
6	Cuenca
7	y
8	viceportavoz
9	socialista
10	de
11	la
12	Comisión
13	de
14	Peticiones
15	del
16	Senado
17	,
18	Luis
19	Ayllón
20	,
21	ha
22	solicitado
23	la
24	comparecencia
25	en
26	la
27	Cámara
28	Alta
29	del
30	ministro
31	de
32	Fomento
33	,
34	Francisco
35	Alvarez
36	Cascos
37	,
38	con
39	el
40	fin
41	de
42	que
43	informe
44	sobre
45	el
46	proyecto
47	de
48	línea
49	de
50	AVE
51	Madrid-Levante
52	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	senador	NOUN	22	nsubj
3	del	ADP	4	case
4	PSOE	PROPN	2	nmod
5	por	ADP	6	case
6	Cuenca	PROPN	2	nmod
7	y	CCONJ	8	cc
8	viceportavoz	NOUN	2	conj
9	socialista	ADJ	8	amod
10	de	ADP	12	case
11	la	DET	12	det
12	Comisión	PROPN	8	nmod
13	de	ADP	14	case
14	Peticiones	PROPN	12	flat
15	del	ADP	16	case
16	Senado	PROPN	12	flat
17	,	PUNCT	18	punct
18	Luis	PROPN	2	appos
19	Ayllón	PROPN	18	flat
20	,	PUNCT	18	punct
21	ha	AUX	22	aux
22	solicitado	VERB	0	root
23	la	DET	24	det
24	comparecencia	NOUN	22	obj
25	en	ADP	27	case
26	la	DET	27	det
27	Cámara	PROPN	24	nmod
28	Alta	PROPN	27	flat
29	del	ADP	30	case
30	ministro	NOUN	24	nmod
31	de	ADP	32	case
32	Fomento	PROPN	30	nmod
33	,	PUNCT	34	punct
34	Francisco	PROPN	30	appos
35	Alvarez	PROPN	34	flat
36	Cascos	PROPN	34	flat
37	,	PUNCT	34	punct
38	con	ADP	40	case
39	el	DET	40	det
40	fin	NOUN	22	obl
41	de	ADP	43	mark
42	que	SCONJ	43	mark
43	informe	VERB	40	acl
44	sobre	ADP	46	case
45	el	DET	46	det
46	proyecto	NOUN	43	obj
47	de	ADP	48	case
48	línea	NOUN	46	nmod
49	de	ADP	50	case
50	AVE	PROPN	48	nmod
51	Madrid-Levante	PROPN	50	flat
52	.	PUNCT	22	punct