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:
Provoz osobních automobilů ruší ve spánku 22 procent obyvatel, hluk nákladních vozidel budí 20 procent občanů a také sousedi nenechají spát 20 procent populace v České republice.
Postion	Tokenization
1	Provoz
2	osobních
3	automobilů
4	ruší
5	ve
6	spánku
7	22
8	procent
9	obyvatel
10	,
11	hluk
12	nákladních
13	vozidel
14	budí
15	20
16	procent
17	občanů
18	a
19	také
20	sousedi
21	nenechají
22	spát
23	20
24	procent
25	populace
26	v
27	České
28	republice
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Provoz	NOUN	4	nsubj
2	osobních	ADJ	3	amod
3	automobilů	NOUN	1	nmod
4	ruší	VERB	0	root
5	ve	ADP	6	case
6	spánku	NOUN	4	obl
7	22	NUM	8	nummod:gov
8	procent	NOUN	4	obj
9	obyvatel	NOUN	8	nmod
10	,	PUNCT	14	punct
11	hluk	NOUN	14	nsubj
12	nákladních	ADJ	13	amod
13	vozidel	NOUN	11	nmod
14	budí	VERB	4	conj
15	20	NUM	16	nummod:gov
16	procent	NOUN	14	obj
17	občanů	NOUN	16	nmod
18	a	CCONJ	21	cc
19	také	ADV	20	advmod:emph
20	sousedi	NOUN	21	nsubj
21	nenechají	VERB	4	conj
22	spát	VERB	21	xcomp
23	20	NUM	24	nummod:gov
24	procent	NOUN	22	obj
25	populace	NOUN	24	nmod
26	v	ADP	28	case
27	České	ADJ	28	amod
28	republice	NOUN	25	nmod
29	.	PUNCT	4	punct