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 ministro de Fomento, Francisco Álvarez-Cascos, el alcalde de Lleida, Antoni Siurana, y el conseller de Política Territorial, Felip Puig, sellaron ayer en Madrid el pacto que permitirá integrar urbanísticamente el AVE en la capital del Segrià.
Postion	Tokenization
1	El
2	ministro
3	de
4	Fomento
5	,
6	Francisco
7	Álvarez-Cascos
8	,
9	el
10	alcalde
11	de
12	Lleida
13	,
14	Antoni
15	Siurana
16	,
17	y
18	el
19	conseller
20	de
21	Política
22	Territorial
23	,
24	Felip
25	Puig
26	,
27	sellaron
28	ayer
29	en
30	Madrid
31	el
32	pacto
33	que
34	permitirá
35	integrar
36	urbanísticamente
37	el
38	AVE
39	en
40	la
41	capital
42	del
43	Segrià
44	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	ministro	NOUN	27	nsubj
3	de	ADP	4	case
4	Fomento	PROPN	2	nmod
5	,	PUNCT	6	punct
6	Francisco	PROPN	2	appos
7	Álvarez-Cascos	PROPN	6	flat
8	,	PUNCT	10	punct
9	el	DET	10	det
10	alcalde	NOUN	2	appos
11	de	ADP	12	case
12	Lleida	PROPN	10	nmod
13	,	PUNCT	14	punct
14	Antoni	PROPN	10	appos
15	Siurana	PROPN	14	flat
16	,	PUNCT	14	punct
17	y	CCONJ	19	cc
18	el	DET	19	det
19	conseller	NOUN	2	conj
20	de	ADP	21	case
21	Política	PROPN	19	nmod
22	Territorial	PROPN	21	flat
23	,	PUNCT	24	punct
24	Felip	PROPN	19	appos
25	Puig	PROPN	24	flat
26	,	PUNCT	24	punct
27	sellaron	VERB	0	root
28	ayer	ADV	27	advmod
29	en	ADP	30	case
30	Madrid	PROPN	27	obl
31	el	DET	32	det
32	pacto	NOUN	27	obj
33	que	PRON	34	nsubj
34	permitirá	VERB	32	acl
35	integrar	VERB	34	xcomp
36	urbanísticamente	ADV	35	advmod
37	el	DET	38	det
38	AVE	PROPN	35	obj
39	en	ADP	41	case
40	la	DET	41	det
41	capital	NOUN	35	obl
42	del	ADP	43	case
43	Segrià	PROPN	41	nmod
44	.	PUNCT	27	punct