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:
Tržby za vlastní výrobky a služby dosáhly 2483.6 miliónu korun, což je podle mluvčího podniku o 5.2 procenta méně než v roce 1993.
Postion	Tokenization
1	Tržby
2	za
3	vlastní
4	výrobky
5	a
6	služby
7	dosáhly
8	2483.6
9	miliónu
10	korun
11	,
12	což
13	je
14	podle
15	mluvčího
16	podniku
17	o
18	5.2
19	procenta
20	méně
21	než
22	v
23	roce
24	1993
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Tržby	NOUN	7	nsubj
2	za	ADP	4	case
3	vlastní	ADJ	4	amod
4	výrobky	NOUN	1	nmod
5	a	CCONJ	6	cc
6	služby	NOUN	4	conj
7	dosáhly	VERB	0	root
8	2483.6	NUM	9	nummod:gov
9	miliónu	NOUN	7	obj
10	korun	NOUN	9	nmod
11	,	PUNCT	20	punct
12	což	PRON	20	nsubj
13	je	AUX	20	cop
14	podle	ADP	15	case
15	mluvčího	NOUN	20	obl
16	podniku	NOUN	15	nmod
17	o	ADP	19	case
18	5.2	NUM	19	nummod:gov
19	procenta	NOUN	20	obl
20	méně	ADV	7	conj
21	než	SCONJ	23	mark
22	v	ADP	23	case
23	roce	NOUN	20	dep
24	1993	NUM	23	nummod
25	.	PUNCT	7	punct