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:
Ésta y otras agencias buscaban alternativas de transporte para sus clientes, principalmente en las aerolíneas que unen Barcelona y las Baleares (Iberia, Spanair y Air Europa).
Postion	Tokenization
1	Ésta
2	y
3	otras
4	agencias
5	buscaban
6	alternativas
7	de
8	transporte
9	para
10	sus
11	clientes
12	,
13	principalmente
14	en
15	las
16	aerolíneas
17	que
18	unen
19	Barcelona
20	y
21	las
22	Baleares
23	(
24	Iberia
25	,
26	Spanair
27	y
28	Air
29	Europa
30	)
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Ésta	PRON	5	nsubj
2	y	CCONJ	4	cc
3	otras	DET	4	det
4	agencias	NOUN	1	conj
5	buscaban	VERB	0	root
6	alternativas	NOUN	5	obj
7	de	ADP	8	case
8	transporte	NOUN	6	nmod
9	para	ADP	11	case
10	sus	DET	11	det
11	clientes	NOUN	6	nmod
12	,	PUNCT	13	punct
13	principalmente	ADV	5	advmod
14	en	ADP	13	case
15	las	DET	16	det
16	aerolíneas	NOUN	13	nmod
17	que	PRON	18	nsubj
18	unen	VERB	16	acl
19	Barcelona	PROPN	18	obj
20	y	CCONJ	22	cc
21	las	DET	22	det
22	Baleares	PROPN	19	conj
23	(	PUNCT	24	punct
24	Iberia	PROPN	16	appos
25	,	PUNCT	26	punct
26	Spanair	PROPN	24	conj
27	y	CCONJ	28	cc
28	Air	PROPN	24	conj
29	Europa	PROPN	28	flat
30	)	PUNCT	24	punct
31	.	PUNCT	5	punct