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:
"Si es que se habla que el espacio aéreo venezolano es sobrevolado por aviones del narcotráfico, yo estuve viendo un informe hace pocos días que indica que el consumo de drogas en las calles de Nueva York se ha duplicado en la última, ahí pudiera haber un hueco mucho más oscuro", dijo Chávez.
Postion	Tokenization
1	"
2	Si
3	es
4	que
5	se
6	habla
7	que
8	el
9	espacio
10	aéreo
11	venezolano
12	es
13	sobrevolado
14	por
15	aviones
16	del
17	narcotráfico
18	,
19	yo
20	estuve
21	viendo
22	un
23	informe
24	hace
25	pocos
26	días
27	que
28	indica
29	que
30	el
31	consumo
32	de
33	drogas
34	en
35	las
36	calles
37	de
38	Nueva
39	York
40	se
41	ha
42	duplicado
43	en
44	la
45	última
46	,
47	ahí
48	pudiera
49	haber
50	un
51	hueco
52	mucho
53	más
54	oscuro
55	"
56	,
57	dijo
58	Chávez
59	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	21	punct
2	Si	SCONJ	3	mark
3	es	AUX	21	advcl
4	que	SCONJ	6	mark
5	se	PRON	6	expl:pass
6	habla	VERB	3	ccomp
7	que	SCONJ	13	mark
8	el	DET	9	det
9	espacio	NOUN	13	nsubj
10	aéreo	ADJ	9	amod
11	venezolano	ADJ	9	amod
12	es	AUX	13	aux
13	sobrevolado	VERB	6	ccomp
14	por	ADP	15	case
15	aviones	NOUN	13	obj
16	del	ADP	17	case
17	narcotráfico	NOUN	15	nmod
18	,	PUNCT	3	punct
19	yo	PRON	21	nsubj
20	estuve	AUX	21	aux
21	viendo	VERB	57	ccomp
22	un	DET	23	det
23	informe	NOUN	21	obj
24	hace	VERB	21	advcl
25	pocos	DET	26	det
26	días	NOUN	24	obj
27	que	PRON	28	nsubj
28	indica	VERB	21	advcl
29	que	SCONJ	42	mark
30	el	DET	31	det
31	consumo	NOUN	42	nsubj
32	de	ADP	33	case
33	drogas	NOUN	31	nmod
34	en	ADP	36	case
35	las	DET	36	det
36	calles	NOUN	31	nmod
37	de	ADP	38	case
38	Nueva	PROPN	36	nmod
39	York	PROPN	38	flat
40	se	PRON	42	expl:pv
41	ha	AUX	42	aux
42	duplicado	VERB	28	ccomp
43	en	ADP	45	case
44	la	DET	45	det
45	última	ADJ	42	obl
46	,	PUNCT	21	punct
47	ahí	ADV	49	advmod
48	pudiera	AUX	21	aux
49	haber	AUX	21	advcl
50	un	DET	51	det
51	hueco	NOUN	49	obj
52	mucho	ADV	54	advmod
53	más	ADV	52	advmod
54	oscuro	ADJ	51	amod
55	"	PUNCT	21	punct
56	,	PUNCT	21	punct
57	dijo	VERB	0	root
58	Chávez	PROPN	57	nsubj
59	.	PUNCT	57	punct