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 camino hacia un tercer referendo para la independencia de Quebec será más complicado que lo previsto por el Partido Quebequés antes de las elecciones del Lunes.
Postion	Tokenization
1	El
2	camino
3	hacia
4	un
5	tercer
6	referendo
7	para
8	la
9	independencia
10	de
11	Quebec
12	será
13	más
14	complicado
15	que
16	lo
17	previsto
18	por
19	el
20	Partido
21	Quebequés
22	antes
23	de
24	las
25	elecciones
26	del
27	Lunes
28	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	camino	NOUN	14	nsubj
3	hacia	ADP	6	case
4	un	DET	6	det
5	tercer	ADJ	6	amod
6	referendo	NOUN	2	nmod
7	para	ADP	9	case
8	la	DET	9	det
9	independencia	NOUN	6	nmod
10	de	ADP	11	case
11	Quebec	PROPN	9	nmod
12	será	AUX	14	cop
13	más	ADV	14	advmod
14	complicado	ADJ	0	root
15	que	SCONJ	17	mark
16	lo	PRON	17	det
17	previsto	ADJ	14	advmod
18	por	ADP	20	case
19	el	DET	20	det
20	Partido	PROPN	17	obj
21	Quebequés	PROPN	20	flat
22	antes	ADV	17	advmod
23	de	ADP	25	case
24	las	DET	25	det
25	elecciones	NOUN	22	obl
26	del	ADP	27	case
27	Lunes	NOUN	25	nmod
28	.	PUNCT	14	punct