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 nuevo escrutinio comenzó el domingo con un recuento mecanizado que separó unas 10.700 papeletas que fueron anuladas por no tener perforado ningún agujero que indique preferencia por uno de los candidatos a presidente.
Postion	Tokenization
1	El
2	nuevo
3	escrutinio
4	comenzó
5	el
6	domingo
7	con
8	un
9	recuento
10	mecanizado
11	que
12	separó
13	unas
14	10.700
15	papeletas
16	que
17	fueron
18	anuladas
19	por
20	no
21	tener
22	perforado
23	ningún
24	agujero
25	que
26	indique
27	preferencia
28	por
29	uno
30	de
31	los
32	candidatos
33	a
34	presidente
35	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	nuevo	ADJ	3	amod
3	escrutinio	NOUN	4	nsubj
4	comenzó	VERB	0	root
5	el	DET	6	det
6	domingo	NOUN	4	obl
7	con	ADP	9	case
8	un	DET	9	det
9	recuento	NOUN	4	obl
10	mecanizado	ADJ	9	amod
11	que	PRON	12	nsubj
12	separó	VERB	9	acl
13	unas	PRON	14	nmod
14	10.700	NUM	15	nummod
15	papeletas	NOUN	12	obj
16	que	PRON	18	nsubj
17	fueron	AUX	18	aux
18	anuladas	VERB	15	acl
19	por	ADP	22	case
20	no	ADV	22	advmod
21	tener	AUX	22	aux
22	perforado	ADJ	18	obl
23	ningún	DET	24	det
24	agujero	NOUN	22	obj
25	que	PRON	26	nsubj
26	indique	VERB	24	acl
27	preferencia	NOUN	26	obj
28	por	ADP	29	case
29	uno	PRON	27	nmod
30	de	ADP	32	case
31	los	DET	32	det
32	candidatos	NOUN	29	nmod
33	a	ADP	34	case
34	presidente	NOUN	32	nmod
35	.	PUNCT	4	punct