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:
Hodnota přijatých zakázek se v porovnání se stejným obdobím loňského roku zvýšila o 3 %, z 15026 mld. USD na 15.475 miliardy.
Postion	Tokenization
1	Hodnota
2	přijatých
3	zakázek
4	se
5	v
6	porovnání
7	se
8	stejným
9	obdobím
10	loňského
11	roku
12	zvýšila
13	o
14	3
15	%
16	,
17	z
18	15026
19	mld
20	.
21	USD
22	na
23	15.475
24	miliardy
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Hodnota	NOUN	12	nsubj
2	přijatých	ADJ	3	amod
3	zakázek	NOUN	1	nmod
4	se	PRON	12	expl:pv
5	v	ADP	9	case
6	porovnání	NOUN	5	fixed
7	se	ADP	5	fixed
8	stejným	ADJ	9	amod
9	obdobím	NOUN	12	obl
10	loňského	ADJ	11	amod
11	roku	NOUN	9	nmod
12	zvýšila	VERB	0	root
13	o	ADP	15	case
14	3	NUM	15	nummod
15	%	SYM	12	advmod
16	,	PUNCT	18	punct
17	z	ADP	18	case
18	15026	NUM	12	obl:arg
19	mld	NOUN	18	nmod
20	.	PUNCT	19	punct
21	USD	NOUN	19	nmod
22	na	ADP	24	case
23	15.475	NUM	24	nummod:gov
24	miliardy	NOUN	12	obl:arg
25	.	PUNCT	12	punct