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:
Más de nueve millones de los diecisiete millones habitantes de Siria están convocados a tomar parte en la consulta popular, que comenzó a las 07.00 hora local (04.00 GMT) y durará hasta las 19:00 horas.
Postion	Tokenization
1	Más
2	de
3	nueve
4	millones
5	de
6	los
7	diecisiete
8	millones
9	habitantes
10	de
11	Siria
12	están
13	convocados
14	a
15	tomar
16	parte
17	en
18	la
19	consulta
20	popular
21	,
22	que
23	comenzó
24	a
25	las
26	07.00
27	hora
28	local
29	(
30	04.00
31	GMT
32	)
33	y
34	durará
35	hasta
36	las
37	19:00
38	horas
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Más	ADV	4	advmod
2	de	ADP	1	case
3	nueve	NUM	1	nummod
4	millones	NOUN	13	nsubj
5	de	ADP	8	case
6	los	DET	7	det
7	diecisiete	NUM	8	nummod
8	millones	NOUN	4	nmod
9	habitantes	NOUN	8	appos
10	de	ADP	11	case
11	Siria	PROPN	9	nmod
12	están	AUX	13	cop
13	convocados	ADJ	0	root
14	a	ADP	15	mark
15	tomar	VERB	13	xcomp
16	parte	NOUN	15	compound
17	en	ADP	19	case
18	la	DET	19	det
19	consulta	NOUN	15	obj
20	popular	ADJ	19	amod
21	,	PUNCT	23	punct
22	que	PRON	23	nsubj
23	comenzó	VERB	19	acl
24	a	ADP	26	case
25	las	DET	26	det
26	07.00	NOUN	23	obl
27	hora	NOUN	26	appos
28	local	ADJ	27	amod
29	(	PUNCT	30	punct
30	04.00	NOUN	26	appos
31	GMT	PROPN	30	appos
32	)	PUNCT	30	punct
33	y	CCONJ	34	cc
34	durará	VERB	23	conj
35	hasta	ADP	37	case
36	las	DET	37	det
37	19:00	NOUN	34	obj
38	horas	NOUN	37	appos
39	.	PUNCT	13	punct