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:
Ruští čtenáři objevují či znovuobjevují texty emigrantů jako Ivana Bunina, Vladimira Nabokova, Fridricha Gorenštejna, Josifa Brodského, Sergeje Dovlatova- oba posledně jmenovaní ostatně patřili k Ivanovovu literárnímu mládí.
Postion	Tokenization
1	Ruští
2	čtenáři
3	objevují
4	či
5	znovuobjevují
6	texty
7	emigrantů
8	jako
9	Ivana
10	Bunina
11	,
12	Vladimira
13	Nabokova
14	,
15	Fridricha
16	Gorenštejna
17	,
18	Josifa
19	Brodského
20	,
21	Sergeje
22	Dovlatova
23	-
24	oba
25	posledně
26	jmenovaní
27	ostatně
28	patřili
29	k
30	Ivanovovu
31	literárnímu
32	mládí
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Ruští	ADJ	2	amod
2	čtenáři	NOUN	3	nsubj
3	objevují	VERB	0	root
4	či	CCONJ	5	cc
5	znovuobjevují	VERB	3	conj
6	texty	NOUN	3	obj
7	emigrantů	NOUN	6	nmod
8	jako	SCONJ	9	mark
9	Ivana	PROPN	7	appos
10	Bunina	PROPN	9	flat
11	,	PUNCT	12	punct
12	Vladimira	PROPN	9	conj
13	Nabokova	PROPN	12	flat
14	,	PUNCT	15	punct
15	Fridricha	PROPN	9	conj
16	Gorenštejna	PROPN	15	flat
17	,	PUNCT	18	punct
18	Josifa	PROPN	9	conj
19	Brodského	PROPN	18	flat
20	,	PUNCT	21	punct
21	Sergeje	PROPN	9	conj
22	Dovlatova	PROPN	21	flat
23	-	PUNCT	28	punct
24	oba	NUM	28	nsubj
25	posledně	ADV	26	advmod
26	jmenovaní	ADJ	24	amod
27	ostatně	ADV	28	advmod
28	patřili	VERB	3	parataxis
29	k	ADP	32	case
30	Ivanovovu	ADJ	32	amod
31	literárnímu	ADJ	32	amod
32	mládí	NOUN	28	obl:arg
33	.	PUNCT	3	punct