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:
Según fuentes aeroportuarias, la actividad aérea en las terminales fue muy similar a la de un día normal y no se registraron incidentes ni retrasos importantes.
Postion	Tokenization
1	Según
2	fuentes
3	aeroportuarias
4	,
5	la
6	actividad
7	aérea
8	en
9	las
10	terminales
11	fue
12	muy
13	similar
14	a
15	la
16	de
17	un
18	día
19	normal
20	y
21	no
22	se
23	registraron
24	incidentes
25	ni
26	retrasos
27	importantes
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	ADP	2	case
2	fuentes	NOUN	13	obl
3	aeroportuarias	ADJ	2	amod
4	,	PUNCT	2	punct
5	la	DET	6	det
6	actividad	NOUN	13	nsubj
7	aérea	ADJ	6	amod
8	en	ADP	10	case
9	las	DET	10	det
10	terminales	NOUN	6	nmod
11	fue	AUX	13	cop
12	muy	ADV	13	advmod
13	similar	ADJ	0	root
14	a	ADP	15	case
15	la	DET	13	det
16	de	ADP	15	case
17	un	DET	18	det
18	día	NOUN	15	nmod
19	normal	ADJ	18	amod
20	y	CCONJ	23	cc
21	no	ADV	23	advmod
22	se	PRON	23	expl:pass
23	registraron	VERB	13	conj
24	incidentes	NOUN	23	nsubj
25	ni	CCONJ	26	cc
26	retrasos	NOUN	24	conj
27	importantes	ADJ	26	amod
28	.	PUNCT	13	punct