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 presidente venezolano, Hugo Chávez, aseguró hoy que la Fuerza Aérea de su país es "eficaz" en la custodia del espacio aéreo nacional para la lucha antidrogas, y calificó de "hueco muy negro" el hecho de que se haya incrementado el consumo de estupefacientes en EEUU.
Postion	Tokenization
1	El
2	presidente
3	venezolano
4	,
5	Hugo
6	Chávez
7	,
8	aseguró
9	hoy
10	que
11	la
12	Fuerza
13	Aérea
14	de
15	su
16	país
17	es
18	"
19	eficaz
20	"
21	en
22	la
23	custodia
24	del
25	espacio
26	aéreo
27	nacional
28	para
29	la
30	lucha
31	antidrogas
32	,
33	y
34	calificó
35	de
36	"
37	hueco
38	muy
39	negro
40	"
41	el
42	hecho
43	de
44	que
45	se
46	haya
47	incrementado
48	el
49	consumo
50	de
51	estupefacientes
52	en
53	EEUU
54	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	presidente	NOUN	8	nsubj
3	venezolano	ADJ	2	amod
4	,	PUNCT	5	punct
5	Hugo	PROPN	2	appos
6	Chávez	PROPN	5	flat
7	,	PUNCT	5	punct
8	aseguró	VERB	0	root
9	hoy	ADV	8	advmod
10	que	SCONJ	19	mark
11	la	DET	12	det
12	Fuerza	PROPN	19	nsubj
13	Aérea	PROPN	12	flat
14	de	ADP	16	case
15	su	DET	16	det
16	país	NOUN	12	nmod
17	es	AUX	19	cop
18	"	PUNCT	19	punct
19	eficaz	ADJ	8	ccomp
20	"	PUNCT	19	punct
21	en	ADP	23	case
22	la	DET	23	det
23	custodia	NOUN	19	nmod
24	del	ADP	25	case
25	espacio	NOUN	23	nmod
26	aéreo	ADJ	25	amod
27	nacional	ADJ	25	amod
28	para	ADP	30	case
29	la	DET	30	det
30	lucha	NOUN	19	obl
31	antidrogas	ADJ	30	amod
32	,	PUNCT	34	punct
33	y	CCONJ	34	cc
34	calificó	VERB	8	conj
35	de	ADP	37	case
36	"	PUNCT	37	punct
37	hueco	NOUN	34	obj
38	muy	ADV	39	advmod
39	negro	ADJ	37	amod
40	"	PUNCT	37	punct
41	el	DET	42	det
42	hecho	NOUN	34	obj
43	de	ADP	47	mark
44	que	SCONJ	47	mark
45	se	PRON	47	expl:pv
46	haya	AUX	47	aux
47	incrementado	VERB	42	acl
48	el	DET	49	det
49	consumo	NOUN	47	nsubj
50	de	ADP	51	case
51	estupefacientes	NOUN	49	nmod
52	en	ADP	53	case
53	EEUU	PROPN	49	nmod
54	.	PUNCT	8	punct