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:
Připravuje: TMI, a. s., V. P. Čkalova 18, 160 00 Praha 6, tel. 02/32 16 49, fax 02/32 17 54
Postion	Tokenization
1	Připravuje
2	:
3	TMI
4	,
5	a
6	.
7	s
8	.
9	,
10	V
11	.
12	P
13	.
14	Čkalova
15	18
16	,
17	160
18	00
19	Praha
20	6
21	,
22	tel
23	.
24	02
25	/
26	32
27	16
28	49
29	,
30	fax
31	02
32	/
33	32
34	17
35	54
Position	Tokenization	UPOS	Head	Deprel
1	Připravuje	VERB	0	root
2	:	PUNCT	3	punct
3	TMI	PROPN	1	nsubj
4	,	PUNCT	7	punct
5	a	ADJ	7	amod
6	.	PUNCT	5	punct
7	s	NOUN	3	nmod
8	.	PUNCT	7	punct
9	,	PUNCT	10	punct
10	V	PROPN	19	nmod
11	.	PUNCT	10	punct
12	P	PROPN	10	flat
13	.	PUNCT	10	punct
14	Čkalova	PROPN	10	flat
15	18	NUM	10	nummod
16	,	PUNCT	19	punct
17	160	NUM	19	nummod
18	00	NUM	17	compound
19	Praha	PROPN	3	nmod
20	6	NUM	19	nummod
21	,	PUNCT	22	punct
22	tel	NOUN	3	nmod
23	.	PUNCT	22	punct
24	02	NUM	22	nummod
25	/	PUNCT	24	punct
26	32	NUM	24	compound
27	16	NUM	26	compound
28	49	NUM	27	compound
29	,	PUNCT	30	punct
30	fax	NOUN	3	nmod
31	02	NUM	30	nummod
32	/	PUNCT	31	punct
33	32	NUM	31	compound
34	17	NUM	33	compound
35	54	NUM	34	compound