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:
Knihu Stáčení podzimu lékaře Aloise Volkmana pokřtí dnes od 17 hodin v Dejvickém Arbesově knihkupectví na Vítězném náměstí 2 spisovatel a epigramatik Ivan Fontana.
Postion	Tokenization
1	Knihu
2	Stáčení
3	podzimu
4	lékaře
5	Aloise
6	Volkmana
7	pokřtí
8	dnes
9	od
10	17
11	hodin
12	v
13	Dejvickém
14	Arbesově
15	knihkupectví
16	na
17	Vítězném
18	náměstí
19	2
20	spisovatel
21	a
22	epigramatik
23	Ivan
24	Fontana
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Knihu	NOUN	7	obj
2	Stáčení	NOUN	1	nmod
3	podzimu	NOUN	2	nmod
4	lékaře	NOUN	1	nmod
5	Aloise	PROPN	4	flat
6	Volkmana	PROPN	4	flat
7	pokřtí	VERB	0	root
8	dnes	ADV	7	advmod
9	od	ADP	11	case
10	17	NUM	11	nummod
11	hodin	NOUN	7	obl
12	v	ADP	15	case
13	Dejvickém	ADJ	15	amod
14	Arbesově	ADJ	15	amod
15	knihkupectví	NOUN	7	obl
16	na	ADP	18	case
17	Vítězném	ADJ	18	amod
18	náměstí	NOUN	15	nmod
19	2	NUM	18	nummod
20	spisovatel	NOUN	23	nmod
21	a	CCONJ	22	cc
22	epigramatik	NOUN	20	conj
23	Ivan	PROPN	7	nsubj
24	Fontana	PROPN	23	flat
25	.	PUNCT	7	punct