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:
Los candidatos, para poder concurrir a las elecciones, necesitarán el aval de unas 1.600 firmas de socios, una cifra que no es elevada entre una masa social integrada por unas 100.000 personas, pero que en anteriores elecciones se ha demostrado que no es fácil de conseguir.
Postion	Tokenization
1	Los
2	candidatos
3	,
4	para
5	poder
6	concurrir
7	a
8	las
9	elecciones
10	,
11	necesitarán
12	el
13	aval
14	de
15	unas
16	1.600
17	firmas
18	de
19	socios
20	,
21	una
22	cifra
23	que
24	no
25	es
26	elevada
27	entre
28	una
29	masa
30	social
31	integrada
32	por
33	unas
34	100.000
35	personas
36	,
37	pero
38	que
39	en
40	anteriores
41	elecciones
42	se
43	ha
44	demostrado
45	que
46	no
47	es
48	fácil
49	de
50	conseguir
51	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	candidatos	NOUN	11	nsubj
3	,	PUNCT	6	punct
4	para	ADP	6	mark
5	poder	AUX	6	aux
6	concurrir	VERB	11	advcl
7	a	ADP	9	case
8	las	DET	9	det
9	elecciones	NOUN	6	obl
10	,	PUNCT	6	punct
11	necesitarán	VERB	0	root
12	el	DET	13	det
13	aval	NOUN	11	obj
14	de	ADP	17	case
15	unas	PRON	16	nmod
16	1.600	NUM	17	nummod
17	firmas	NOUN	13	nmod
18	de	ADP	19	case
19	socios	NOUN	17	nmod
20	,	PUNCT	22	punct
21	una	DET	22	det
22	cifra	NOUN	17	appos
23	que	PRON	26	nsubj
24	no	ADV	26	advmod
25	es	AUX	26	cop
26	elevada	ADJ	22	acl
27	entre	ADP	29	case
28	una	DET	29	det
29	masa	NOUN	26	obl
30	social	ADJ	29	amod
31	integrada	ADJ	29	amod
32	por	ADP	35	case
33	unas	PRON	34	nmod
34	100.000	NUM	35	nummod
35	personas	NOUN	31	obj
36	,	PUNCT	44	punct
37	pero	CCONJ	44	cc
38	que	PRON	44	nsubj
39	en	ADP	41	case
40	anteriores	ADJ	41	amod
41	elecciones	NOUN	44	obl
42	se	PRON	44	expl:pass
43	ha	AUX	44	aux
44	demostrado	VERB	26	conj
45	que	SCONJ	48	mark
46	no	ADV	48	advmod
47	es	AUX	48	cop
48	fácil	ADJ	44	csubj
49	de	ADP	50	mark
50	conseguir	VERB	48	acl
51	.	PUNCT	11	punct