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:
La gran dificultad que históricamente se ha dado en la recogida de las firmas de socios para avalar las candidaturas será un obstáculo que impedirá la dispersión de precandidatos, pues la obtención de una firma ha llevado en otros años a hacer auténticas locuras.
Postion	Tokenization
1	La
2	gran
3	dificultad
4	que
5	históricamente
6	se
7	ha
8	dado
9	en
10	la
11	recogida
12	de
13	las
14	firmas
15	de
16	socios
17	para
18	avalar
19	las
20	candidaturas
21	será
22	un
23	obstáculo
24	que
25	impedirá
26	la
27	dispersión
28	de
29	precandidatos
30	,
31	pues
32	la
33	obtención
34	de
35	una
36	firma
37	ha
38	llevado
39	en
40	otros
41	años
42	a
43	hacer
44	auténticas
45	locuras
46	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	3	det
2	gran	ADJ	3	amod
3	dificultad	NOUN	23	nsubj
4	que	PRON	8	nsubj
5	históricamente	ADV	8	advmod
6	se	PRON	8	expl:pv
7	ha	AUX	8	aux
8	dado	VERB	3	acl
9	en	ADP	11	case
10	la	DET	11	det
11	recogida	NOUN	8	obl
12	de	ADP	14	case
13	las	DET	14	det
14	firmas	NOUN	11	nmod
15	de	ADP	16	case
16	socios	NOUN	14	nmod
17	para	ADP	18	mark
18	avalar	VERB	11	acl
19	las	DET	20	det
20	candidaturas	NOUN	18	obj
21	será	AUX	23	cop
22	un	DET	23	det
23	obstáculo	NOUN	0	root
24	que	PRON	25	nsubj
25	impedirá	VERB	23	acl
26	la	DET	27	det
27	dispersión	NOUN	25	obj
28	de	ADP	29	case
29	precandidatos	NOUN	27	nmod
30	,	PUNCT	38	punct
31	pues	SCONJ	38	mark
32	la	DET	33	det
33	obtención	NOUN	38	nsubj
34	de	ADP	36	case
35	una	DET	36	det
36	firma	NOUN	33	nmod
37	ha	AUX	38	aux
38	llevado	VERB	23	advcl
39	en	ADP	41	case
40	otros	DET	41	det
41	años	NOUN	38	obl
42	a	ADP	43	mark
43	hacer	VERB	38	xcomp
44	auténticas	ADJ	45	amod
45	locuras	NOUN	43	obj
46	.	PUNCT	23	punct