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:
Los electores tendrán que marcar "Sí" o "No" en la tarjeta preparada para este referéndum, del que se espera un apoyo masivo al nombramiento de Bachar Asad como nuevo presidente.
Postion	Tokenization
1	Los
2	electores
3	tendrán
4	que
5	marcar
6	"
7	Sí
8	"
9	o
10	"
11	No
12	"
13	en
14	la
15	tarjeta
16	preparada
17	para
18	este
19	referéndum
20	,
21	del
22	que
23	se
24	espera
25	un
26	apoyo
27	masivo
28	al
29	nombramiento
30	de
31	Bachar
32	Asad
33	como
34	nuevo
35	presidente
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	electores	NOUN	5	nsubj
3	tendrán	VERB	0	root
4	que	SCONJ	5	cc
5	marcar	VERB	3	conj
6	"	PUNCT	7	punct
7	Sí	NOUN	5	obj
8	"	PUNCT	11	punct
9	o	CCONJ	11	cc
10	"	PUNCT	11	punct
11	No	NOUN	7	conj
12	"	PUNCT	11	punct
13	en	ADP	15	case
14	la	DET	15	det
15	tarjeta	NOUN	5	obl
16	preparada	ADJ	15	amod
17	para	ADP	19	case
18	este	DET	19	det
19	referéndum	NOUN	16	obl
20	,	PUNCT	24	punct
21	del	ADP	22	case
22	que	PRON	24	obl
23	se	PRON	24	expl:pass
24	espera	VERB	19	acl
25	un	DET	26	det
26	apoyo	NOUN	24	nsubj
27	masivo	ADJ	26	amod
28	al	ADP	29	case
29	nombramiento	NOUN	26	nmod
30	de	ADP	31	case
31	Bachar	PROPN	29	nmod
32	Asad	PROPN	31	flat
33	como	SCONJ	35	mark
34	nuevo	ADJ	35	amod
35	presidente	NOUN	29	nmod
36	.	PUNCT	3	punct