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: Osmdesát procent Rusů je přesvědčeno, že se jim před začátkem Gorbačovovy přestavby žilo lépe než dnes, pro 67 procent je socialismus ještě stále přitažlivý a téměř polovina ruských občanů má pozitivní vztah ke Stalinovi.
Position	Tokenization	UPOS	Head	Deprel
1	Osmdesát	NUM	2	nummod:gov
2	procent	NOUN	5	nsubj
3	Rusů	PROPN	2	nmod
4	je	AUX	5	cop
5	přesvědčeno	ADJ	0	root
6	,	PUNCT	14	punct
7	že	SCONJ	14	mark
8	se	PRON	14	expl:pass
9	jim	PRON	14	obl
10	před	ADP	11	case
11	začátkem	NOUN	14	obl
12	Gorbačovovy	ADJ	13	amod
13	přestavby	NOUN	11	nmod
14	žilo	VERB	5	ccomp
15	lépe	ADV	14	advmod
16	než	SCONJ	17	mark
17	dnes	ADV	15	advcl
18	,	PUNCT	26	punct
19	pro	ADP	21	case
20	67	NUM	21	nummod:gov
21	procent	NOUN	26	obl
22	je	AUX	26	cop
23	socialismus	NOUN	26	nsubj
24	ještě	ADV	26	advmod
25	stále	ADV	26	advmod
26	přitažlivý	ADJ	5	conj
27	a	CCONJ	32	cc
28	téměř	ADV	29	advmod:emph
29	polovina	NOUN	32	nsubj
30	ruských	ADJ	31	amod
31	občanů	NOUN	29	nmod
32	má	VERB	5	conj
33	pozitivní	ADJ	34	amod
34	vztah	NOUN	32	obj
35	ke	ADP	36	case
36	Stalinovi	PROPN	34	nmod
37	.	PUNCT	5	punct