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:
Primátor Jan Koukal informoval, že v první etapě jde o více než desetihektarovou plochu podél dálnice D- 1 vedoucí od sídliště Chodov směrem na Brno.
Postion	Tokenization
1	Primátor
2	Jan
3	Koukal
4	informoval
5	,
6	že
7	v
8	první
9	etapě
10	jde
11	o
12	více
13	než
14	desetihektarovou
15	plochu
16	podél
17	dálnice
18	D
19	-
20	1
21	vedoucí
22	od
23	sídliště
24	Chodov
25	směrem
26	na
27	Brno
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Primátor	NOUN	4	nsubj
2	Jan	PROPN	1	flat
3	Koukal	PROPN	1	flat
4	informoval	VERB	0	root
5	,	PUNCT	10	punct
6	že	SCONJ	10	mark
7	v	ADP	9	case
8	první	ADJ	9	amod
9	etapě	NOUN	10	obl
10	jde	VERB	4	ccomp
11	o	ADP	15	case
12	více	ADV	14	advmod
13	než	SCONJ	12	fixed
14	desetihektarovou	ADJ	15	amod
15	plochu	NOUN	10	obl:arg
16	podél	ADP	17	case
17	dálnice	NOUN	15	nmod
18	D	NOUN	17	nmod
19	-	PUNCT	20	punct
20	1	NUM	18	nummod
21	vedoucí	ADJ	17	amod
22	od	ADP	23	case
23	sídliště	NOUN	21	obl
24	Chodov	PROPN	23	nmod
25	směrem	NOUN	27	case
26	na	ADP	25	fixed
27	Brno	PROPN	21	obl
28	.	PUNCT	4	punct