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:
Na rozdíl od USA však lze považovat střed hlavních měst - Ottawy, Toronta, Montrealu a Quebeku - za bezpečný, zejména pokud si dáte pozor na poberty.
Postion	Tokenization
1	Na
2	rozdíl
3	od
4	USA
5	však
6	lze
7	považovat
8	střed
9	hlavních
10	měst
11	-
12	Ottawy
13	,
14	Toronta
15	,
16	Montrealu
17	a
18	Quebeku
19	-
20	za
21	bezpečný
22	,
23	zejména
24	pokud
25	si
26	dáte
27	pozor
28	na
29	poberty
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	4	case
2	rozdíl	NOUN	1	fixed
3	od	ADP	1	fixed
4	USA	PROPN	6	obl
5	však	CCONJ	6	cc
6	lze	VERB	0	root
7	považovat	VERB	6	csubj
8	střed	NOUN	7	obj
9	hlavních	ADJ	10	amod
10	měst	NOUN	8	nmod
11	-	PUNCT	12	punct
12	Ottawy	PROPN	10	appos
13	,	PUNCT	14	punct
14	Toronta	PROPN	12	conj
15	,	PUNCT	16	punct
16	Montrealu	PROPN	12	conj
17	a	CCONJ	18	cc
18	Quebeku	PROPN	12	conj
19	-	PUNCT	12	punct
20	za	ADP	21	case
21	bezpečný	ADJ	7	obl:arg
22	,	PUNCT	26	punct
23	zejména	ADV	26	advmod:emph
24	pokud	SCONJ	26	mark
25	si	PRON	26	expl:pv
26	dáte	VERB	6	advcl
27	pozor	NOUN	26	obj
28	na	ADP	29	case
29	poberty	NOUN	27	nmod
30	.	PUNCT	6	punct