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: Gradua, s. r. o., Klánova 62, 147 09 Praha 4, tel. 02/472 96 97-8, fax 02/472 73 27.
Postion	Tokenization
1	Připravuje
2	:
3	Gradua
4	,
5	s
6	.
7	r
8	.
9	o
10	.
11	,
12	Klánova
13	62
14	,
15	147
16	09
17	Praha
18	4
19	,
20	tel
21	.
22	02
23	/
24	472
25	96
26	97
27	-
28	8
29	,
30	fax
31	02
32	/
33	472
34	73
35	27
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Připravuje	VERB	0	root
2	:	PUNCT	3	punct
3	Gradua	PROPN	1	nsubj
4	,	PUNCT	5	punct
5	s	NOUN	3	nmod
6	.	PUNCT	5	punct
7	r	NOUN	5	nmod
8	.	PUNCT	7	punct
9	o	ADJ	7	amod
10	.	PUNCT	9	punct
11	,	PUNCT	12	punct
12	Klánova	ADJ	17	amod
13	62	NUM	12	nummod
14	,	PUNCT	17	punct
15	147	NUM	17	nummod
16	09	NUM	15	compound
17	Praha	PROPN	3	nmod
18	4	NUM	17	nummod
19	,	PUNCT	20	punct
20	tel	NOUN	3	nmod
21	.	PUNCT	20	punct
22	02	NUM	20	nummod
23	/	PUNCT	22	punct
24	472	NUM	22	compound
25	96	NUM	24	compound
26	97	NUM	25	compound
27	-	PUNCT	28	punct
28	8	NUM	26	conj
29	,	PUNCT	30	punct
30	fax	NOUN	3	nmod
31	02	NUM	30	nummod
32	/	PUNCT	31	punct
33	472	NUM	31	compound
34	73	NUM	33	compound
35	27	NUM	34	compound
36	.	PUNCT	1	punct