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 primer ministro de la provincia canadiense de Quebec, Lucient Bouchard, ha conseguido un resultado electoral insuficiente para volver a convocar a corto plazo un referendo sobre la independencia.
Postion	Tokenization
1	El
2	primer
3	ministro
4	de
5	la
6	provincia
7	canadiense
8	de
9	Quebec
10	,
11	Lucient
12	Bouchard
13	,
14	ha
15	conseguido
16	un
17	resultado
18	electoral
19	insuficiente
20	para
21	volver
22	a
23	convocar
24	a
25	corto
26	plazo
27	un
28	referendo
29	sobre
30	la
31	independencia
32	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	primer	ADJ	3	amod
3	ministro	NOUN	15	nsubj
4	de	ADP	6	case
5	la	DET	6	det
6	provincia	NOUN	3	nmod
7	canadiense	ADJ	6	amod
8	de	ADP	9	case
9	Quebec	PROPN	6	nmod
10	,	PUNCT	11	punct
11	Lucient	PROPN	3	appos
12	Bouchard	PROPN	11	flat
13	,	PUNCT	11	punct
14	ha	AUX	15	aux
15	conseguido	VERB	0	root
16	un	DET	17	det
17	resultado	NOUN	15	obj
18	electoral	ADJ	17	amod
19	insuficiente	ADJ	17	amod
20	para	ADP	21	mark
21	volver	VERB	19	acl
22	a	ADP	23	mark
23	convocar	VERB	21	xcomp
24	a	ADP	21	advmod
25	corto	NOUN	24	fixed
26	plazo	NOUN	24	fixed
27	un	DET	28	det
28	referendo	NOUN	21	obj
29	sobre	ADP	31	case
30	la	DET	31	det
31	independencia	NOUN	28	nmod
32	.	PUNCT	15	punct