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:
Para mayor confusión - - ¿o es deliberado? - -, el repartidor de esa torna, que la oposición considera una descarada paga extra electoral para jubilados, será Benestar Social.
Postion	Tokenization
1	Para
2	mayor
3	confusión
4	-
5	-
6	¿
7	o
8	es
9	deliberado
10	?
11	-
12	-
13	,
14	el
15	repartidor
16	de
17	esa
18	torna
19	,
20	que
21	la
22	oposición
23	considera
24	una
25	descarada
26	paga
27	extra
28	electoral
29	para
30	jubilados
31	,
32	será
33	Benestar
34	Social
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Para	ADP	3	case
2	mayor	ADJ	3	amod
3	confusión	NOUN	33	obl
4	-	PUNCT	33	punct
5	-	PUNCT	33	punct
6	¿	PUNCT	33	punct
7	o	CCONJ	9	advmod
8	es	AUX	9	cop
9	deliberado	ADJ	33	parataxis
10	?	PUNCT	33	punct
11	-	PUNCT	33	punct
12	-	PUNCT	33	punct
13	,	PUNCT	33	punct
14	el	DET	15	det
15	repartidor	NOUN	33	nsubj
16	de	ADP	18	case
17	esa	DET	18	det
18	torna	NOUN	15	nmod
19	,	PUNCT	23	punct
20	que	PRON	23	obj
21	la	DET	22	det
22	oposición	NOUN	23	nsubj
23	considera	VERB	18	acl
24	una	DET	26	det
25	descarada	ADJ	26	amod
26	paga	NOUN	23	obj
27	extra	ADJ	26	amod
28	electoral	ADJ	26	amod
29	para	ADP	30	case
30	jubilados	NOUN	26	nmod
31	,	PUNCT	23	punct
32	será	AUX	33	cop
33	Benestar	PROPN	0	root
34	Social	PROPN	33	flat
35	.	PUNCT	33	punct