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:
Jako jedna z mála světových firem však právě Rover (rovněž i Porsche) nemá oficiální zastoupení, ačkoliv auta těchto značek jezdí na našich silnicích.
Postion	Tokenization
1	Jako
2	jedna
3	z
4	mála
5	světových
6	firem
7	však
8	právě
9	Rover
10	(
11	rovněž
12	i
13	Porsche
14	)
15	nemá
16	oficiální
17	zastoupení
18	,
19	ačkoliv
20	auta
21	těchto
22	značek
23	jezdí
24	na
25	našich
26	silnicích
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Jako	SCONJ	2	mark
2	jedna	NUM	9	xcomp
3	z	ADP	6	case
4	mála	DET	6	det:numgov
5	světových	ADJ	6	amod
6	firem	NOUN	2	nmod
7	však	CCONJ	15	cc
8	právě	ADV	9	advmod:emph
9	Rover	NOUN	15	nsubj
10	(	PUNCT	13	punct
11	rovněž	ADV	13	advmod:emph
12	i	CCONJ	13	cc
13	Porsche	PROPN	9	conj
14	)	PUNCT	13	punct
15	nemá	VERB	0	root
16	oficiální	ADJ	17	amod
17	zastoupení	NOUN	15	obj
18	,	PUNCT	23	punct
19	ačkoliv	SCONJ	23	mark
20	auta	NOUN	23	nsubj
21	těchto	DET	22	det
22	značek	NOUN	20	nmod
23	jezdí	VERB	15	advcl
24	na	ADP	26	case
25	našich	DET	26	det
26	silnicích	NOUN	23	obl
27	.	PUNCT	15	punct