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:
Vydání této prózy je totiž jednou z hlavních událostí letošního literárního léta: poprvé je do českého kontextu uveden autor, který už dlouho představuje v evropské literatuře pojem.
Postion	Tokenization
1	Vydání
2	této
3	prózy
4	je
5	totiž
6	jednou
7	z
8	hlavních
9	událostí
10	letošního
11	literárního
12	léta
13	:
14	poprvé
15	je
16	do
17	českého
18	kontextu
19	uveden
20	autor
21	,
22	který
23	už
24	dlouho
25	představuje
26	v
27	evropské
28	literatuře
29	pojem
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Vydání	NOUN	6	nsubj
2	této	DET	3	det
3	prózy	NOUN	1	nmod
4	je	AUX	6	cop
5	totiž	ADV	6	advmod
6	jednou	NUM	0	root
7	z	ADP	9	case
8	hlavních	ADJ	9	amod
9	událostí	NOUN	6	nmod
10	letošního	ADJ	12	amod
11	literárního	ADJ	12	amod
12	léta	NOUN	9	nmod
13	:	PUNCT	19	punct
14	poprvé	ADV	19	obl
15	je	AUX	19	cop
16	do	ADP	18	case
17	českého	ADJ	18	amod
18	kontextu	NOUN	19	obl
19	uveden	ADJ	6	conj
20	autor	NOUN	19	nsubj
21	,	PUNCT	25	punct
22	který	DET	25	nsubj
23	už	ADV	24	advmod:emph
24	dlouho	ADV	25	advmod
25	představuje	VERB	20	acl:relcl
26	v	ADP	28	case
27	evropské	ADJ	28	amod
28	literatuře	NOUN	25	obl
29	pojem	NOUN	25	obj
30	.	PUNCT	6	punct