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:
Representantes de las asociaciones de comerciantes de Catalunya expresaron ayer su sentimiento de haber sido "traicionados y defraudados" por el Gobierno del PP tras la nueva regulación de los horarios comerciales.
Postion	Tokenization
1	Representantes
2	de
3	las
4	asociaciones
5	de
6	comerciantes
7	de
8	Catalunya
9	expresaron
10	ayer
11	su
12	sentimiento
13	de
14	haber
15	sido
16	"
17	traicionados
18	y
19	defraudados
20	"
21	por
22	el
23	Gobierno
24	del
25	PP
26	tras
27	la
28	nueva
29	regulación
30	de
31	los
32	horarios
33	comerciales
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Representantes	NOUN	9	nsubj
2	de	ADP	4	case
3	las	DET	4	det
4	asociaciones	NOUN	1	nmod
5	de	ADP	6	case
6	comerciantes	NOUN	4	nmod
7	de	ADP	8	case
8	Catalunya	PROPN	6	nmod
9	expresaron	VERB	0	root
10	ayer	ADV	9	advmod
11	su	DET	12	det
12	sentimiento	NOUN	9	obj
13	de	ADP	17	mark
14	haber	AUX	17	aux
15	sido	AUX	17	aux
16	"	PUNCT	17	punct
17	traicionados	VERB	12	acl
18	y	CCONJ	19	cc
19	defraudados	VERB	17	conj
20	"	PUNCT	23	punct
21	por	ADP	23	case
22	el	DET	23	det
23	Gobierno	PROPN	17	obj
24	del	ADP	25	case
25	PP	PROPN	23	nmod
26	tras	ADP	29	case
27	la	DET	29	det
28	nueva	ADJ	29	amod
29	regulación	NOUN	17	obl
30	de	ADP	32	case
31	los	DET	32	det
32	horarios	NOUN	29	nmod
33	comerciales	ADJ	32	amod
34	.	PUNCT	9	punct