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:
Ty navíc zanedlouho převezmou působnost i za Lázně I, které má v brzké době rekonstruovat jistá belgická firma s předpokládanými náklady zhruba 220 milionů korun.
Postion	Tokenization
1	Ty
2	navíc
3	zanedlouho
4	převezmou
5	působnost
6	i
7	za
8	Lázně
9	I
10	,
11	které
12	má
13	v
14	brzké
15	době
16	rekonstruovat
17	jistá
18	belgická
19	firma
20	s
21	předpokládanými
22	náklady
23	zhruba
24	220
25	milionů
26	korun
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Ty	DET	4	nsubj
2	navíc	ADV	4	advmod
3	zanedlouho	ADV	4	advmod
4	převezmou	VERB	0	root
5	působnost	NOUN	4	obj
6	i	CCONJ	8	advmod:emph
7	za	ADP	8	case
8	Lázně	PROPN	4	obl
9	I	NUM	8	nummod
10	,	PUNCT	12	punct
11	které	DET	16	obj
12	má	VERB	8	acl:relcl
13	v	ADP	15	case
14	brzké	ADJ	15	amod
15	době	NOUN	12	obl
16	rekonstruovat	VERB	12	xcomp
17	jistá	ADJ	19	amod
18	belgická	ADJ	19	amod
19	firma	NOUN	12	nsubj
20	s	ADP	22	case
21	předpokládanými	ADJ	22	amod
22	náklady	NOUN	16	obl
23	zhruba	ADV	24	advmod:emph
24	220	NUM	25	nummod:gov
25	milionů	NOUN	22	nmod
26	korun	NOUN	25	nmod
27	.	PUNCT	4	punct