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 que quiera ver los informes de la Aviación Venezolana acerca del incremento de nuestra eficacia para detectar y seguir vuelos sospechosos en nuestro territorio, pues puede verlos", agregó Chávez.
Postion	Tokenization
1	"
2	El
3	que
4	quiera
5	ver
6	los
7	informes
8	de
9	la
10	Aviación
11	Venezolana
12	acerca
13	del
14	incremento
15	de
16	nuestra
17	eficacia
18	para
19	detectar
20	y
21	seguir
22	vuelos
23	sospechosos
24	en
25	nuestro
26	territorio
27	,
28	pues
29	puede
30	verlos
31	ver
32	los
33	"
34	,
35	agregó
36	Chávez
37	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	30	punct
2	El	DET	4	det
3	que	PRON	4	nsubj
4	quiera	VERB	30	csubj
5	ver	VERB	4	xcomp
6	los	DET	7	det
7	informes	NOUN	5	obj
8	de	ADP	10	case
9	la	DET	10	det
10	Aviación	PROPN	7	nmod
11	Venezolana	PROPN	10	flat
12	acerca	ADV	14	case
13	del	ADP	12	fixed
14	incremento	NOUN	7	nmod
15	de	ADP	17	case
16	nuestra	DET	17	det
17	eficacia	NOUN	14	nmod
18	para	ADP	19	mark
19	detectar	VERB	7	acl
20	y	CCONJ	21	cc
21	seguir	VERB	19	conj
22	vuelos	NOUN	19	obj
23	sospechosos	ADJ	22	amod
24	en	ADP	26	case
25	nuestro	DET	26	det
26	territorio	NOUN	19	obl
27	,	PUNCT	4	punct
28	pues	SCONJ	30	mark
29	puede	AUX	30	aux
30	verlos	_	None	_
31	ver	VERB	34	xcomp
32	los	PRON	30	obj
33	"	PUNCT	30	punct
34	,	PUNCT	30	punct
35	agregó	VERB	0	root
36	Chávez	PROPN	34	nsubj
37	.	PUNCT	34	punct