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:
El nombre de Gore era el único incluido en la lista oficial de candidatos, por lo que esa propuesta fue una mera formalidad.
Postion	Tokenization
1	El
2	nombre
3	de
4	Gore
5	era
6	el
7	único
8	incluido
9	en
10	la
11	lista
12	oficial
13	de
14	candidatos
15	,
16	por
17	lo
18	que
19	esa
20	propuesta
21	fue
22	una
23	mera
24	formalidad
25	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	nombre	NOUN	8	nsubj
3	de	ADP	4	case
4	Gore	PROPN	2	nmod
5	era	AUX	8	cop
6	el	DET	8	det
7	único	ADJ	8	amod
8	incluido	ADJ	0	root
9	en	ADP	11	case
10	la	DET	11	det
11	lista	NOUN	8	obl
12	oficial	ADJ	11	amod
13	de	ADP	14	case
14	candidatos	NOUN	11	nmod
15	,	PUNCT	17	punct
16	por	ADP	17	case
17	lo	PRON	8	obl
18	que	SCONJ	24	mark
19	esa	DET	20	det
20	propuesta	NOUN	24	nsubj
21	fue	AUX	24	cop
22	una	DET	24	det
23	mera	ADJ	24	amod
24	formalidad	NOUN	17	acl
25	.	PUNCT	8	punct