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:
Škoda nabízí automobily odlišné kategorie a také zabezpečení servisu je jiné, když na trh umístíte ročně 80000 nebo 2000 aut."
Postion	Tokenization
1	Škoda
2	nabízí
3	automobily
4	odlišné
5	kategorie
6	a
7	také
8	zabezpečení
9	servisu
10	je
11	jiné
12	,
13	když
14	na
15	trh
16	umístíte
17	ročně
18	80000
19	nebo
20	2000
21	aut
22	.
23	"
Position	Tokenization	UPOS	Head	Deprel
1	Škoda	PROPN	2	nsubj
2	nabízí	VERB	0	root
3	automobily	NOUN	2	obj
4	odlišné	ADJ	5	amod
5	kategorie	NOUN	3	nmod
6	a	CCONJ	11	cc
7	také	ADV	8	advmod:emph
8	zabezpečení	NOUN	11	nsubj
9	servisu	NOUN	8	nmod
10	je	AUX	11	cop
11	jiné	ADJ	2	conj
12	,	PUNCT	16	punct
13	když	SCONJ	16	mark
14	na	ADP	15	case
15	trh	NOUN	16	obl
16	umístíte	VERB	11	advcl
17	ročně	ADV	16	advmod
18	80000	NUM	21	nummod:gov
19	nebo	CCONJ	20	cc
20	2000	NUM	18	conj
21	aut	NOUN	16	obj
22	.	PUNCT	2	punct
23	"	PUNCT	2	punct