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:
Automobilka Škoda zvyšuje od pondělka ceny osobních vozů - nejlacinější Favorit v základním provedení bude nyní stát 196700 Kč, což je o 5700 korun více než dosud.
Postion	Tokenization
1	Automobilka
2	Škoda
3	zvyšuje
4	od
5	pondělka
6	ceny
7	osobních
8	vozů
9	-
10	nejlacinější
11	Favorit
12	v
13	základním
14	provedení
15	bude
16	nyní
17	stát
18	196700
19	Kč
20	,
21	což
22	je
23	o
24	5700
25	korun
26	více
27	než
28	dosud
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Automobilka	NOUN	3	nsubj
2	Škoda	PROPN	1	nmod
3	zvyšuje	VERB	0	root
4	od	ADP	5	case
5	pondělka	NOUN	3	obl
6	ceny	NOUN	3	obl:arg
7	osobních	ADJ	8	amod
8	vozů	NOUN	6	nmod
9	-	PUNCT	17	punct
10	nejlacinější	ADJ	11	amod
11	Favorit	PROPN	17	nsubj
12	v	ADP	14	case
13	základním	ADJ	14	amod
14	provedení	NOUN	11	nmod
15	bude	AUX	17	aux
16	nyní	ADV	17	advmod
17	stát	VERB	3	conj
18	196700	NUM	17	obj
19	Kč	NOUN	18	nmod
20	,	PUNCT	26	punct
21	což	PRON	26	nsubj
22	je	AUX	26	cop
23	o	ADP	25	case
24	5700	NUM	25	nummod:gov
25	korun	NOUN	26	obl
26	více	ADV	17	conj
27	než	SCONJ	28	mark
28	dosud	ADV	26	advcl
29	.	PUNCT	3	punct