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 text: Nikoli kvůli vzdálenosti, ale proto, že Kanada dává své obavy z přistěhovalectví náležitě znát: do Kanady je nutno si obstarat vízum, a to stojí nejen dost peněz, ale také dost času, opakované osobní návštěvy na kanadském velvyslanectví, a hlavně - zdaleka není zaručen úspěch.
Position	Tokenization	UPOS	Head	Deprel
1	Nikoli	ADV	3	advmod:emph
2	kvůli	ADP	3	case
3	vzdálenosti	NOUN	0	root
4	_	_	None	_
5	,	PUNCT	6	punct
6	ale	CCONJ	6	cc
7	proto	ADV	3	conj
8	,	PUNCT	10	punct
9	že	SCONJ	10	mark
10	Kanada	PROPN	10	nsubj
11	dává	VERB	6	orphan
12	své	DET	12	det
13	obavy	NOUN	16	obj
14	z	ADP	14	case
15	přistěhovalectví	NOUN	12	nmod
16	náležitě	ADV	16	advmod
17	znát	VERB	10	xcomp
18	:	PUNCT	21	punct
19	do	ADP	19	case
20	Kanady	PROPN	24	nmod
21	je	AUX	21	cop
22	nutno	ADJ	3	conj
23	si	PRON	23	obl:arg
24	obstarat	VERB	21	csubj
25	vízum	NOUN	23	obj
26	,	PUNCT	28	punct
27	a	CCONJ	28	cc
28	to	DET	28	nsubj
29	stojí	VERB	21	conj
30	nejen	PART	30	advmod:emph
31	dost	ADV	28	advmod
32	peněz	NOUN	30	nmod
33	,	PUNCT	35	punct
34	ale	CCONJ	35	cc
35	také	ADV	35	advmod:emph
36	dost	ADV	30	conj
37	času	NOUN	35	nmod
38	,	PUNCT	40	punct
39	opakované	ADJ	40	amod
40	osobní	ADJ	40	amod
41	návštěvy	NOUN	21	conj
42	na	ADP	43	case
43	kanadském	ADJ	43	amod
44	velvyslanectví	NOUN	40	nmod
45	,	PUNCT	50	punct
46	a	CCONJ	50	cc
47	hlavně	ADV	50	advmod
48	-	PUNCT	46	punct
49	zdaleka	ADV	50	advmod:emph
50	není	AUX	50	cop
51	zaručen	ADJ	21	conj
52	úspěch	NOUN	50	nsubj
53	.	PUNCT	3	punct