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:
Joan Castells sería el siguiente con más posibilidades, ya que lleva trabajando en la preparación de su candidatura durante cerca de dos años.
Postion	Tokenization
1	Joan
2	Castells
3	sería
4	el
5	siguiente
6	con
7	más
8	posibilidades
9	,
10	ya
11	que
12	lleva
13	trabajando
14	en
15	la
16	preparación
17	de
18	su
19	candidatura
20	durante
21	cerca
22	de
23	dos
24	años
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Joan	PROPN	5	nsubj
2	Castells	PROPN	1	flat
3	sería	AUX	5	cop
4	el	DET	5	det
5	siguiente	ADJ	0	root
6	con	ADP	8	case
7	más	ADV	8	advmod
8	posibilidades	NOUN	5	nmod
9	,	PUNCT	12	punct
10	ya	ADV	12	mark
11	que	SCONJ	10	fixed
12	lleva	VERB	5	advcl
13	trabajando	VERB	12	xcomp
14	en	ADP	16	case
15	la	DET	16	det
16	preparación	NOUN	12	obl
17	de	ADP	19	case
18	su	DET	19	det
19	candidatura	NOUN	16	nmod
20	durante	ADP	24	case
21	cerca	ADV	23	advmod
22	de	ADP	23	case
23	dos	NUM	24	nummod
24	años	NOUN	12	obl
25	.	PUNCT	5	punct