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:
Un centenar de personas tenía previsto despegar ayer a las 11.10 horas de Barcelona en el vuelo UX-9482 de Air Europa rumbo a Sevilla.
Postion	Tokenization
1	Un
2	centenar
3	de
4	personas
5	tenía
6	previsto
7	despegar
8	ayer
9	a
10	las
11	11.10
12	horas
13	de
14	Barcelona
15	en
16	el
17	vuelo
18	UX-9482
19	de
20	Air
21	Europa
22	rumbo
23	a
24	Sevilla
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Un	DET	2	det
2	centenar	NOUN	5	nsubj
3	de	ADP	4	case
4	personas	NOUN	2	nmod
5	tenía	VERB	0	root
6	previsto	ADJ	5	iobj
7	despegar	VERB	5	xcomp
8	ayer	ADV	7	advmod
9	a	ADP	11	case
10	las	DET	11	det
11	11.10	NUM	8	obl
12	horas	NOUN	11	compound
13	de	ADP	14	case
14	Barcelona	PROPN	7	obl
15	en	ADP	17	case
16	el	DET	17	det
17	vuelo	NOUN	7	obl
18	UX-9482	PROPN	17	appos
19	de	ADP	20	case
20	Air	PROPN	17	nmod
21	Europa	PROPN	20	flat
22	rumbo	NOUN	24	case
23	a	ADP	22	fixed
24	Sevilla	PROPN	7	obl
25	.	PUNCT	5	punct