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:
"Ha venido mucha gente pidiéndonos que les devolvamos el importe del billete, pero es Turbocat quien debe solucionar el problema, no nosotros", indicó una empleada de Halcón Viajes.
Postion	Tokenization
1	"
2	Ha
3	venido
4	mucha
5	gente
6	pidiéndonos
7	pidiendo
8	nos
9	que
10	les
11	devolvamos
12	el
13	importe
14	del
15	billete
16	,
17	pero
18	es
19	Turbocat
20	quien
21	debe
22	solucionar
23	el
24	problema
25	,
26	no
27	nosotros
28	"
29	,
30	indicó
31	una
32	empleada
33	de
34	Halcón
35	Viajes
36	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	3	punct
2	Ha	AUX	3	aux
3	venido	VERB	29	ccomp
4	mucha	DET	5	det
5	gente	NOUN	3	nsubj
6	pidiéndonos	_	None	_
7	pidiendo	VERB	3	advcl
8	nos	PRON	6	iobj
9	que	SCONJ	10	mark
10	les	PRON	10	obj
11	devolvamos	VERB	6	advcl
12	el	DET	12	det
13	importe	NOUN	10	obj
14	del	ADP	14	case
15	billete	NOUN	12	nmod
16	,	PUNCT	17	punct
17	pero	CCONJ	17	cc
18	es	AUX	3	conj
19	Turbocat	PROPN	17	nsubj
20	quien	PRON	21	nsubj
21	debe	AUX	21	aux
22	solucionar	VERB	17	ccomp
23	el	DET	23	det
24	problema	NOUN	21	obj
25	,	PUNCT	17	punct
26	no	ADV	26	advmod
27	nosotros	PRON	17	obl
28	"	PUNCT	3	punct
29	,	PUNCT	3	punct
30	indicó	VERB	0	root
31	una	DET	31	det
32	empleada	NOUN	29	nsubj
33	de	ADP	33	case
34	Halcón	PROPN	31	nmod
35	Viajes	PROPN	33	flat
36	.	PUNCT	29	punct