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:
Znalec postupně probíral několik desítek listin z velké většiny xerokopií údajně autentických dokumentů a referoval o nesrovnalostech, které obsahují a které dokazují, že jsou zfalšované.
Postion	Tokenization
1	Znalec
2	postupně
3	probíral
4	několik
5	desítek
6	listin
7	z
8	velké
9	většiny
10	xerokopií
11	údajně
12	autentických
13	dokumentů
14	a
15	referoval
16	o
17	nesrovnalostech
18	,
19	které
20	obsahují
21	a
22	které
23	dokazují
24	,
25	že
26	jsou
27	zfalšované
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Znalec	NOUN	3	nsubj
2	postupně	ADV	3	advmod
3	probíral	VERB	0	root
4	několik	DET	5	det:numgov
5	desítek	NOUN	3	obj
6	listin	NOUN	5	nmod
7	z	ADP	9	case
8	velké	ADJ	9	amod
9	většiny	NOUN	3	obl
10	xerokopií	NOUN	9	nmod
11	údajně	ADV	12	advmod
12	autentických	ADJ	13	amod
13	dokumentů	NOUN	10	nmod
14	a	CCONJ	15	cc
15	referoval	VERB	3	conj
16	o	ADP	17	case
17	nesrovnalostech	NOUN	15	obl:arg
18	,	PUNCT	20	punct
19	které	DET	20	obj
20	obsahují	VERB	17	acl:relcl
21	a	CCONJ	23	cc
22	které	DET	23	nsubj
23	dokazují	VERB	20	conj
24	,	PUNCT	27	punct
25	že	SCONJ	27	mark
26	jsou	AUX	27	cop
27	zfalšované	ADJ	23	ccomp
28	.	PUNCT	3	punct