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:
En ese periodo, se convocaron además elecciones en 1981, 1985 y 1993, pero en los tres casos Núñez salió elegido sin oposición al no presentarse ningún oponente a los comicios.
Postion	Tokenization
1	En
2	ese
3	periodo
4	,
5	se
6	convocaron
7	además
8	elecciones
9	en
10	1981
11	,
12	1985
13	y
14	1993
15	,
16	pero
17	en
18	los
19	tres
20	casos
21	Núñez
22	salió
23	elegido
24	sin
25	oposición
26	al
27	no
28	presentarse
29	presentar
30	se
31	ningún
32	oponente
33	a
34	los
35	comicios
36	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	ese	DET	3	det
3	periodo	NOUN	6	obl
4	,	PUNCT	3	punct
5	se	PRON	6	expl:pass
6	convocaron	VERB	0	root
7	además	ADV	6	advmod
8	elecciones	NOUN	6	nsubj
9	en	ADP	10	case
10	1981	NOUN	6	obl
11	,	PUNCT	12	punct
12	1985	NOUN	10	conj
13	y	CCONJ	14	cc
14	1993	NOUN	10	conj
15	,	PUNCT	22	punct
16	pero	CCONJ	22	cc
17	en	ADP	20	case
18	los	DET	20	det
19	tres	NUM	18	nummod
20	casos	NOUN	22	obl
21	Núñez	PROPN	22	nsubj
22	salió	VERB	6	conj
23	elegido	ADJ	22	obj
24	sin	ADP	25	case
25	oposición	NOUN	23	obl
26	al	ADP	28	mark
27	no	ADV	28	advmod
28	presentarse	_	None	_
29	presentar	VERB	23	advcl
30	se	PRON	28	obj
31	ningún	DET	31	det
32	oponente	NOUN	28	nsubj
33	a	ADP	34	case
34	los	DET	34	det
35	comicios	NOUN	28	obl
36	.	PUNCT	6	punct