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: S velmi vysokou pravděpodobností by celá populace dala (pokud byl průzkum korektně proveden) ve stejné době a situaci na stejné otázky zhruba stejně strukturované (až na 1 - 2 procenta odchylek v četnosti) odpovědi.
Position	Tokenization	UPOS	Head	Deprel
1	S	ADP	4	case
2	velmi	ADV	3	advmod
3	vysokou	ADJ	4	amod
4	pravděpodobností	NOUN	8	obl
5	by	AUX	8	aux
6	celá	ADJ	7	amod
7	populace	NOUN	8	nsubj
8	dala	VERB	0	root
9	(	PUNCT	14	punct
10	pokud	SCONJ	14	mark
11	byl	AUX	14	aux:pass
12	průzkum	NOUN	14	nsubj:pass
13	korektně	ADV	14	advmod
14	proveden	ADJ	8	obl
15	)	PUNCT	14	punct
16	ve	ADP	18	case
17	stejné	ADJ	18	amod
18	době	NOUN	8	obl
19	a	CCONJ	20	cc
20	situaci	NOUN	18	conj
21	na	ADP	23	case
22	stejné	ADJ	23	amod
23	otázky	NOUN	38	nmod
24	zhruba	ADV	25	advmod
25	stejně	ADV	26	advmod
26	strukturované	ADJ	38	amod
27	(	PUNCT	33	punct
28	až	PART	33	advmod:emph
29	na	ADP	33	case
30	1	NUM	33	nummod
31	-	PUNCT	32	punct
32	2	NUM	30	conj
33	procenta	NOUN	26	obl
34	odchylek	NOUN	33	nmod
35	v	ADP	36	case
36	četnosti	NOUN	34	nmod
37	)	PUNCT	33	punct
38	odpovědi	NOUN	8	obj
39	.	PUNCT	8	punct