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:
Un ejemplo de ello es que, en las elecciones celebradas el 27 de julio de 1997, en una fecha muy similar a la de los comicios que se celebrarán este año, el candidato que aglutinó a toda la oposición, Angel Fernández, únicamente pudo presentar un total de 2.829 firmas.
Postion	Tokenization
1	Un
2	ejemplo
3	de
4	ello
5	es
6	que
7	,
8	en
9	las
10	elecciones
11	celebradas
12	el
13	27
14	de
15	julio
16	de
17	1997
18	,
19	en
20	una
21	fecha
22	muy
23	similar
24	a
25	la
26	de
27	los
28	comicios
29	que
30	se
31	celebrarán
32	este
33	año
34	,
35	el
36	candidato
37	que
38	aglutinó
39	a
40	toda
41	la
42	oposición
43	,
44	Angel
45	Fernández
46	,
47	únicamente
48	pudo
49	presentar
50	un
51	total
52	de
53	2.829
54	firmas
55	.
Position	Tokenization	UPOS	Head	Deprel
1	Un	DET	2	det
2	ejemplo	NOUN	5	nsubj
3	de	ADP	4	case
4	ello	PRON	2	nmod
5	es	AUX	0	root
6	que	SCONJ	49	mark
7	,	PUNCT	10	punct
8	en	ADP	10	case
9	las	DET	10	det
10	elecciones	NOUN	49	obl
11	celebradas	ADJ	10	amod
12	el	DET	13	det
13	27	NUM	11	obl
14	de	ADP	15	case
15	julio	NOUN	13	compound
16	de	ADP	17	case
17	1997	NUM	13	compound
18	,	PUNCT	21	punct
19	en	ADP	21	case
20	una	DET	21	det
21	fecha	NOUN	13	nmod
22	muy	ADV	23	advmod
23	similar	ADJ	21	amod
24	a	ADP	25	case
25	la	DET	23	det
26	de	ADP	25	case
27	los	DET	28	det
28	comicios	NOUN	25	nmod
29	que	PRON	31	nsubj
30	se	PRON	31	expl:pass
31	celebrarán	VERB	28	acl
32	este	DET	33	det
33	año	NOUN	31	obl
34	,	PUNCT	21	punct
35	el	DET	36	det
36	candidato	NOUN	49	nsubj
37	que	PRON	38	nsubj
38	aglutinó	VERB	36	acl
39	a	ADP	42	case
40	toda	DET	41	det
41	la	DET	42	det
42	oposición	NOUN	38	obj
43	,	PUNCT	44	punct
44	Angel	PROPN	36	appos
45	Fernández	PROPN	44	flat
46	,	PUNCT	44	punct
47	únicamente	ADV	49	advmod
48	pudo	AUX	49	aux
49	presentar	VERB	5	ccomp
50	un	PRON	53	nmod
51	total	ADJ	53	amod
52	de	ADP	53	case
53	2.829	NUM	54	nummod
54	firmas	NOUN	49	obj
55	.	PUNCT	5	punct