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:
Když se 57letý řidič J. N. ve Fiatu Panda vyhýbal na silnici překážce, najel na dřevěný hranol, dostal se do smyku a havaroval.
Postion	Tokenization
1	Když
2	se
3	57
4	letý
5	řidič
6	J
7	.
8	N
9	.
10	ve
11	Fiatu
12	Panda
13	vyhýbal
14	na
15	silnici
16	překážce
17	,
18	najel
19	na
20	dřevěný
21	hranol
22	,
23	dostal
24	se
25	do
26	smyku
27	a
28	havaroval
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Když	SCONJ	13	mark
2	se	PRON	13	expl:pv
3	57	NUM	4	obl
4	letý	ADJ	5	amod
5	řidič	NOUN	6	nmod
6	J	PROPN	13	nsubj
7	.	PUNCT	6	punct
8	N	PROPN	6	flat
9	.	PUNCT	6	punct
10	ve	ADP	11	case
11	Fiatu	PROPN	13	obl
12	Panda	PROPN	11	nmod
13	vyhýbal	VERB	18	advcl
14	na	ADP	15	case
15	silnici	NOUN	13	obl
16	překážce	NOUN	13	obl:arg
17	,	PUNCT	13	punct
18	najel	VERB	0	root
19	na	ADP	21	case
20	dřevěný	ADJ	21	amod
21	hranol	NOUN	18	obl
22	,	PUNCT	23	punct
23	dostal	VERB	18	conj
24	se	PRON	23	expl:pv
25	do	ADP	26	case
26	smyku	NOUN	23	obl
27	a	CCONJ	28	cc
28	havaroval	VERB	18	conj
29	.	PUNCT	18	punct