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:
Soud použil u odsouzených nižší sazbu, přičemž ve skutečnosti by zjevně odpovídala i podle tehdejšího zákona sazba od tří do deseti let za těžké ublížení na zdraví.
Postion	Tokenization
1	Soud
2	použil
3	u
4	odsouzených
5	nižší
6	sazbu
7	,
8	přičemž
9	ve
10	skutečnosti
11	by
12	zjevně
13	odpovídala
14	i
15	podle
16	tehdejšího
17	zákona
18	sazba
19	od
20	tří
21	do
22	deseti
23	let
24	za
25	těžké
26	ublížení
27	na
28	zdraví
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Soud	NOUN	2	nsubj
2	použil	VERB	0	root
3	u	ADP	4	case
4	odsouzených	ADJ	2	obl
5	nižší	ADJ	6	amod
6	sazbu	NOUN	2	obj
7	,	PUNCT	13	punct
8	přičemž	ADV	13	advmod
9	ve	ADP	10	case
10	skutečnosti	NOUN	13	obl
11	by	AUX	13	aux
12	zjevně	ADV	13	advmod
13	odpovídala	VERB	2	conj
14	i	CCONJ	17	advmod:emph
15	podle	ADP	17	case
16	tehdejšího	ADJ	17	amod
17	zákona	NOUN	13	obl
18	sazba	NOUN	13	nsubj
19	od	ADP	20	case
20	tří	NUM	18	dep
21	do	ADP	23	case
22	deseti	NUM	23	nummod
23	let	NOUN	18	nmod
24	za	ADP	26	case
25	těžké	ADJ	26	amod
26	ublížení	NOUN	18	nmod
27	na	ADP	28	case
28	zdraví	NOUN	26	nmod
29	.	PUNCT	2	punct