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:
Québecký blok, seskupení usilující o oddělení provincie a uznání její samostatnosti, které oblast zastupuje na federální úrovni, získal celé dvě třetiny hlasů tamního obyvatelstva.
Postion	Tokenization
1	Québecký
2	blok
3	,
4	seskupení
5	usilující
6	o
7	oddělení
8	provincie
9	a
10	uznání
11	její
12	samostatnosti
13	,
14	které
15	oblast
16	zastupuje
17	na
18	federální
19	úrovni
20	,
21	získal
22	celé
23	dvě
24	třetiny
25	hlasů
26	tamního
27	obyvatelstva
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Québecký	ADJ	2	amod
2	blok	NOUN	21	nsubj
3	,	PUNCT	4	punct
4	seskupení	NOUN	2	appos
5	usilující	ADJ	4	amod
6	o	ADP	7	case
7	oddělení	NOUN	5	obl:arg
8	provincie	NOUN	7	nmod
9	a	CCONJ	10	cc
10	uznání	NOUN	7	conj
11	její	DET	12	det
12	samostatnosti	NOUN	10	nmod
13	,	PUNCT	16	punct
14	které	DET	16	nsubj
15	oblast	NOUN	16	obj
16	zastupuje	VERB	4	acl:relcl
17	na	ADP	19	case
18	federální	ADJ	19	amod
19	úrovni	NOUN	16	obl
20	,	PUNCT	16	punct
21	získal	VERB	0	root
22	celé	ADJ	24	amod
23	dvě	NUM	24	nummod
24	třetiny	NUM	21	obj
25	hlasů	NOUN	24	nmod
26	tamního	ADJ	27	amod
27	obyvatelstva	NOUN	25	nmod
28	.	PUNCT	21	punct