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:
- - Se da por sentada su candidatura a la reelección como presidente, por lo que la principal incógnita del congreso está en el número dos.
Postion	Tokenization
1	-
2	-
3	Se
4	da
5	por
6	sentada
7	su
8	candidatura
9	a
10	la
11	reelección
12	como
13	presidente
14	,
15	por
16	lo
17	que
18	la
19	principal
20	incógnita
21	del
22	congreso
23	está
24	en
25	el
26	número
27	dos
28	.
Position	Tokenization	UPOS	Head	Deprel
1	-	PUNCT	4	punct
2	-	PUNCT	4	punct
3	Se	PRON	4	expl:pass
4	da	VERB	0	root
5	por	ADP	6	case
6	sentada	ADJ	4	obl
7	su	DET	8	det
8	candidatura	NOUN	4	nsubj
9	a	ADP	11	case
10	la	DET	11	det
11	reelección	NOUN	8	nmod
12	como	SCONJ	13	mark
13	presidente	NOUN	11	nmod
14	,	PUNCT	26	punct
15	por	ADP	26	case
16	lo	PRON	26	det
17	que	PRON	26	obl
18	la	DET	20	det
19	principal	ADJ	20	amod
20	incógnita	NOUN	26	nsubj
21	del	ADP	22	case
22	congreso	NOUN	20	nmod
23	está	AUX	26	cop
24	en	ADP	26	case
25	el	DET	26	det
26	número	NOUN	4	advcl
27	dos	NUM	26	appos
28	.	PUNCT	4	punct