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:
Ztráty kamene při finálním zpracování pak činí přibližně 20 %, zatímco odpad ze surových kamenů představuje průměrně 50 % hmoty.
Postion	Tokenization
1	Ztráty
2	kamene
3	při
4	finálním
5	zpracování
6	pak
7	činí
8	přibližně
9	20
10	%
11	,
12	zatímco
13	odpad
14	ze
15	surových
16	kamenů
17	představuje
18	průměrně
19	50
20	%
21	hmoty
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Ztráty	NOUN	7	nsubj
2	kamene	NOUN	1	nmod
3	při	ADP	5	case
4	finálním	ADJ	5	amod
5	zpracování	NOUN	7	obl
6	pak	ADV	7	advmod
7	činí	VERB	0	root
8	přibližně	ADV	9	advmod
9	20	NUM	7	obj
10	%	SYM	9	nmod
11	,	PUNCT	17	punct
12	zatímco	SCONJ	17	mark
13	odpad	NOUN	17	nsubj
14	ze	ADP	16	case
15	surových	ADJ	16	amod
16	kamenů	NOUN	13	nmod
17	představuje	VERB	7	advcl
18	průměrně	ADV	17	advmod
19	50	NUM	17	obj
20	%	SYM	19	nmod
21	hmoty	NOUN	20	nmod
22	.	PUNCT	7	punct