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:
Sám S. Kovaljov prohlásil, že při vyhodnocování ztrát byla použita speciální metoda a že uvedená čísla se mohou od skutečnosti lišit maximálně o 20 procent.
Postion	Tokenization
1	Sám
2	S
3	.
4	Kovaljov
5	prohlásil
6	,
7	že
8	při
9	vyhodnocování
10	ztrát
11	byla
12	použita
13	speciální
14	metoda
15	a
16	že
17	uvedená
18	čísla
19	se
20	mohou
21	od
22	skutečnosti
23	lišit
24	maximálně
25	o
26	20
27	procent
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Sám	DET	2	xcomp
2	S	PROPN	5	nsubj
3	.	PUNCT	2	punct
4	Kovaljov	PROPN	2	flat
5	prohlásil	VERB	0	root
6	,	PUNCT	12	punct
7	že	SCONJ	12	mark
8	při	ADP	9	case
9	vyhodnocování	NOUN	12	obl
10	ztrát	NOUN	9	nmod
11	byla	AUX	12	aux:pass
12	použita	ADJ	5	obj
13	speciální	ADJ	14	amod
14	metoda	NOUN	12	nsubj:pass
15	a	CCONJ	20	cc
16	že	SCONJ	20	mark
17	uvedená	ADJ	18	amod
18	čísla	NOUN	20	nsubj
19	se	PRON	23	expl:pv
20	mohou	VERB	12	conj
21	od	ADP	22	case
22	skutečnosti	NOUN	23	obl:arg
23	lišit	VERB	20	xcomp
24	maximálně	ADV	26	advmod:emph
25	o	ADP	27	case
26	20	NUM	27	nummod:gov
27	procent	NOUN	23	obl
28	.	PUNCT	5	punct