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:
Además, Gore tiene ligeras ventajas en algunos estados clave que le hacen albergar esperanzas de victoria, incluso con menos votos populares, gracias a la institución del Colegio Electoral.
Postion	Tokenization
1	Además
2	,
3	Gore
4	tiene
5	ligeras
6	ventajas
7	en
8	algunos
9	estados
10	clave
11	que
12	le
13	hacen
14	albergar
15	esperanzas
16	de
17	victoria
18	,
19	incluso
20	con
21	menos
22	votos
23	populares
24	,
25	gracias
26	a
27	la
28	institución
29	del
30	Colegio
31	Electoral
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Además	ADV	4	advmod
2	,	PUNCT	1	punct
3	Gore	PROPN	4	nsubj
4	tiene	VERB	0	root
5	ligeras	ADJ	6	amod
6	ventajas	NOUN	4	obj
7	en	ADP	9	case
8	algunos	DET	9	det
9	estados	NOUN	4	obl
10	clave	NOUN	9	nmod
11	que	PRON	13	nsubj
12	le	PRON	13	obj
13	hacen	VERB	4	advcl
14	albergar	VERB	13	xcomp
15	esperanzas	NOUN	13	obj
16	de	ADP	17	case
17	victoria	NOUN	15	nmod
18	,	PUNCT	19	punct
19	incluso	ADV	13	advmod
20	con	ADP	19	case
21	menos	ADV	22	advmod
22	votos	NOUN	19	nmod
23	populares	ADJ	22	amod
24	,	PUNCT	28	punct
25	gracias	NOUN	28	case
26	a	ADP	25	fixed
27	la	DET	28	det
28	institución	NOUN	22	nmod
29	del	ADP	30	case
30	Colegio	PROPN	28	nmod
31	Electoral	PROPN	30	flat
32	.	PUNCT	4	punct