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:
Leiva afirmó que Aeronáutica Civil "está vigilando estrechamente a las líneas aéreas" ante las continuas quejas de los pasajeros, especialmente de TACA, por el constante extravío de equipaje, suspensión abrupta de vuelos o cancelación de cupos, aunque el usuario haya comprado su billete.
Postion	Tokenization
1	Leiva
2	afirmó
3	que
4	Aeronáutica
5	Civil
6	"
7	está
8	vigilando
9	estrechamente
10	a
11	las
12	líneas
13	aéreas
14	"
15	ante
16	las
17	continuas
18	quejas
19	de
20	los
21	pasajeros
22	,
23	especialmente
24	de
25	TACA
26	,
27	por
28	el
29	constante
30	extravío
31	de
32	equipaje
33	,
34	suspensión
35	abrupta
36	de
37	vuelos
38	o
39	cancelación
40	de
41	cupos
42	,
43	aunque
44	el
45	usuario
46	haya
47	comprado
48	su
49	billete
50	.
Position	Tokenization	UPOS	Head	Deprel
1	Leiva	PROPN	2	nsubj
2	afirmó	VERB	0	root
3	que	SCONJ	8	mark
4	Aeronáutica	PROPN	8	nsubj
5	Civil	PROPN	4	flat
6	"	PUNCT	8	punct
7	está	AUX	8	aux
8	vigilando	VERB	2	ccomp
9	estrechamente	ADV	8	advmod
10	a	ADP	12	case
11	las	DET	12	det
12	líneas	NOUN	8	obj
13	aéreas	ADJ	12	amod
14	"	PUNCT	8	punct
15	ante	ADP	18	case
16	las	DET	18	det
17	continuas	ADJ	18	amod
18	quejas	NOUN	8	obl
19	de	ADP	21	case
20	los	DET	21	det
21	pasajeros	NOUN	18	nmod
22	,	PUNCT	23	punct
23	especialmente	ADV	8	obj
24	de	ADP	23	case
25	TACA	PROPN	23	nmod
26	,	PUNCT	30	punct
27	por	ADP	30	case
28	el	DET	30	det
29	constante	ADJ	30	amod
30	extravío	NOUN	8	obl
31	de	ADP	32	case
32	equipaje	NOUN	30	nmod
33	,	PUNCT	34	punct
34	suspensión	NOUN	30	appos
35	abrupta	ADJ	34	amod
36	de	ADP	37	case
37	vuelos	NOUN	34	nmod
38	o	CCONJ	39	cc
39	cancelación	NOUN	30	conj
40	de	ADP	41	case
41	cupos	NOUN	39	nmod
42	,	PUNCT	47	punct
43	aunque	SCONJ	47	mark
44	el	DET	45	det
45	usuario	NOUN	47	nsubj
46	haya	AUX	47	aux
47	comprado	VERB	30	acl
48	su	DET	49	det
49	billete	NOUN	47	obj
50	.	PUNCT	2	punct