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:
V Paříži představené nové auto by mělo získat ztracené pozice v segmentu ovládaném takovými modely jako Ford Fiesta, Renault Clio, Opel Corsa a Peugeot 106.
Postion	Tokenization
1	V
2	Paříži
3	představené
4	nové
5	auto
6	by
7	mělo
8	získat
9	ztracené
10	pozice
11	v
12	segmentu
13	ovládaném
14	takovými
15	modely
16	jako
17	Ford
18	Fiesta
19	,
20	Renault
21	Clio
22	,
23	Opel
24	Corsa
25	a
26	Peugeot
27	106
28	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	2	case
2	Paříži	PROPN	7	obl
3	představené	ADJ	5	amod
4	nové	ADJ	5	amod
5	auto	NOUN	7	nsubj
6	by	AUX	7	aux
7	mělo	VERB	0	root
8	získat	VERB	7	xcomp
9	ztracené	ADJ	10	amod
10	pozice	NOUN	8	obj
11	v	ADP	12	case
12	segmentu	NOUN	10	nmod
13	ovládaném	ADJ	12	amod
14	takovými	DET	15	det
15	modely	NOUN	13	obl:arg
16	jako	SCONJ	17	mark
17	Ford	PROPN	15	dep
18	Fiesta	NOUN	17	nmod
19	,	PUNCT	20	punct
20	Renault	PROPN	17	conj
21	Clio	PROPN	20	nmod
22	,	PUNCT	23	punct
23	Opel	PROPN	17	conj
24	Corsa	PROPN	23	nmod
25	a	CCONJ	26	cc
26	Peugeot	PROPN	17	conj
27	106	NUM	26	nummod
28	.	PUNCT	7	punct