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 CANDIDATO socialista cuenta desde ayer con una nueva web (www.araMaragall.com (y un boletín de campaña, que será repartido en la gira por Catalunya que ayer inició en Lleida.
Postion	Tokenization
1	EL
2	CANDIDATO
3	socialista
4	cuenta
5	desde
6	ayer
7	con
8	una
9	nueva
10	web
11	(
12	www.araMaragall.com
13	(
14	y
15	un
16	boletín
17	de
18	campaña
19	,
20	que
21	será
22	repartido
23	en
24	la
25	gira
26	por
27	Catalunya
28	que
29	ayer
30	inició
31	en
32	Lleida
33	.
Position	Tokenization	UPOS	Head	Deprel
1	EL	DET	2	det
2	CANDIDATO	NOUN	4	nsubj
3	socialista	ADJ	2	amod
4	cuenta	VERB	0	root
5	desde	ADP	6	case
6	ayer	ADV	4	advmod
7	con	ADP	10	case
8	una	DET	10	det
9	nueva	ADJ	10	amod
10	web	NOUN	4	obj
11	(	PUNCT	12	punct
12	www.araMaragall.com	PROPN	10	appos
13	(	PUNCT	12	punct
14	y	CCONJ	16	cc
15	un	DET	16	det
16	boletín	NOUN	10	conj
17	de	ADP	18	case
18	campaña	NOUN	16	nmod
19	,	PUNCT	22	punct
20	que	PRON	22	nsubj
21	será	AUX	22	aux
22	repartido	VERB	16	acl
23	en	ADP	25	case
24	la	DET	25	det
25	gira	NOUN	22	obl
26	por	ADP	27	case
27	Catalunya	PROPN	25	nmod
28	que	PRON	30	obj
29	ayer	ADV	30	advmod
30	inició	VERB	25	acl
31	en	ADP	32	case
32	Lleida	PROPN	30	obl
33	.	PUNCT	4	punct