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:
El candidato del cambio frustrado, Pasqual Maragall, lamenta que el nuevo Govern barra hacia casa: "No recoge el deseo muy importante de cambio".
Postion	Tokenization
1	El
2	candidato
3	del
4	cambio
5	frustrado
6	,
7	Pasqual
8	Maragall
9	,
10	lamenta
11	que
12	el
13	nuevo
14	Govern
15	barra
16	hacia
17	casa
18	:
19	"
20	No
21	recoge
22	el
23	deseo
24	muy
25	importante
26	de
27	cambio
28	"
29	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	candidato	NOUN	10	nsubj
3	del	ADP	4	case
4	cambio	NOUN	2	nmod
5	frustrado	ADJ	4	amod
6	,	PUNCT	7	punct
7	Pasqual	PROPN	2	appos
8	Maragall	PROPN	7	flat
9	,	PUNCT	7	punct
10	lamenta	VERB	0	root
11	que	SCONJ	15	mark
12	el	DET	14	det
13	nuevo	ADJ	14	amod
14	Govern	PROPN	15	nsubj
15	barra	VERB	10	ccomp
16	hacia	ADP	17	case
17	casa	NOUN	15	obl
18	:	PUNCT	21	punct
19	"	PUNCT	21	punct
20	No	ADV	21	advmod
21	recoge	VERB	10	advcl
22	el	DET	23	det
23	deseo	NOUN	21	obj
24	muy	ADV	25	advmod
25	importante	ADJ	23	amod
26	de	ADP	27	case
27	cambio	NOUN	23	nmod
28	"	PUNCT	21	punct
29	.	PUNCT	10	punct