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:
Québec, druhá největší kanadská provincie, se rozkládá mezi Hudsonovým zálivem na severu a zálivem Sv. Vavřince na jihovýchodě Kanady.
Postion	Tokenization
1	Québec
2	,
3	druhá
4	největší
5	kanadská
6	provincie
7	,
8	se
9	rozkládá
10	mezi
11	Hudsonovým
12	zálivem
13	na
14	severu
15	a
16	zálivem
17	Sv
18	.
19	Vavřince
20	na
21	jihovýchodě
22	Kanady
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Québec	PROPN	9	nsubj
2	,	PUNCT	6	punct
3	druhá	ADJ	6	amod
4	největší	ADJ	6	amod
5	kanadská	ADJ	6	amod
6	provincie	NOUN	1	appos
7	,	PUNCT	6	punct
8	se	PRON	9	expl:pv
9	rozkládá	VERB	0	root
10	mezi	ADP	12	case
11	Hudsonovým	ADJ	12	amod
12	zálivem	NOUN	9	obl
13	na	ADP	14	case
14	severu	NOUN	12	nmod
15	a	CCONJ	16	cc
16	zálivem	NOUN	12	conj
17	Sv	ADJ	19	amod
18	.	PUNCT	17	punct
19	Vavřince	PROPN	16	nmod
20	na	ADP	21	case
21	jihovýchodě	NOUN	16	nmod
22	Kanady	PROPN	21	nmod
23	.	PUNCT	9	punct