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:
Mario Hidalgo, director operativo de Air Europa, aseguró que la compañía luchó para recolocar a los afectados en otro vuelo, pero "fue imposible".
Postion	Tokenization
1	Mario
2	Hidalgo
3	,
4	director
5	operativo
6	de
7	Air
8	Europa
9	,
10	aseguró
11	que
12	la
13	compañía
14	luchó
15	para
16	recolocar
17	a
18	los
19	afectados
20	en
21	otro
22	vuelo
23	,
24	pero
25	"
26	fue
27	imposible
28	"
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Mario	PROPN	10	nsubj
2	Hidalgo	PROPN	1	flat
3	,	PUNCT	4	punct
4	director	NOUN	1	appos
5	operativo	ADJ	4	amod
6	de	ADP	7	case
7	Air	PROPN	4	nmod
8	Europa	PROPN	7	flat
9	,	PUNCT	4	punct
10	aseguró	VERB	0	root
11	que	SCONJ	14	mark
12	la	DET	13	det
13	compañía	NOUN	14	nsubj
14	luchó	VERB	10	ccomp
15	para	ADP	16	mark
16	recolocar	VERB	14	advcl
17	a	ADP	19	case
18	los	DET	19	det
19	afectados	NOUN	16	obj
20	en	ADP	22	case
21	otro	DET	22	det
22	vuelo	NOUN	16	obl
23	,	PUNCT	27	punct
24	pero	CCONJ	27	cc
25	"	PUNCT	27	punct
26	fue	AUX	27	cop
27	imposible	ADJ	14	conj
28	"	PUNCT	27	punct
29	.	PUNCT	10	punct