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:
Například odkrývá- li momenty rituálu ve vědecké řeči, anebo (jak je tomu v přednášce Co je autor) když analyzuje autora jako historicky proměnlivou funkci textu.
Postion	Tokenization
1	Například
2	odkrývá
3	-
4	li
5	momenty
6	rituálu
7	ve
8	vědecké
9	řeči
10	,
11	anebo
12	(
13	jak
14	je
15	tomu
16	v
17	přednášce
18	Co
19	je
20	autor
21	)
22	když
23	analyzuje
24	autora
25	jako
26	historicky
27	proměnlivou
28	funkci
29	textu
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Například	ADV	2	advmod
2	odkrývá	VERB	0	root
3	-	PUNCT	2	punct
4	li	PART	2	mark
5	momenty	NOUN	2	obj
6	rituálu	NOUN	5	nmod
7	ve	ADP	9	case
8	vědecké	ADJ	9	amod
9	řeči	NOUN	6	nmod
10	,	PUNCT	23	punct
11	anebo	CCONJ	23	cc
12	(	PUNCT	14	punct
13	jak	SCONJ	14	mark
14	je	VERB	23	parataxis
15	tomu	DET	14	nsubj
16	v	ADP	17	case
17	přednášce	NOUN	14	obl
18	Co	PRON	20	nsubj
19	je	AUX	20	cop
20	autor	NOUN	17	acl:relcl
21	)	PUNCT	14	punct
22	když	SCONJ	23	mark
23	analyzuje	VERB	2	conj
24	autora	NOUN	23	obj
25	jako	SCONJ	28	mark
26	historicky	ADV	27	advmod
27	proměnlivou	ADJ	28	amod
28	funkci	NOUN	24	xcomp
29	textu	NOUN	28	nmod
30	.	PUNCT	2	punct