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:
V polském ropném sektoru působí v současné době deset podniků, které vytvářejí 8.5 procenta hrubého domácího produktu a dosahují ročního zisku ve výši asi 400 miliónů USD.
Postion	Tokenization
1	V
2	polském
3	ropném
4	sektoru
5	působí
6	v
7	současné
8	době
9	deset
10	podniků
11	,
12	které
13	vytvářejí
14	8.5
15	procenta
16	hrubého
17	domácího
18	produktu
19	a
20	dosahují
21	ročního
22	zisku
23	ve
24	výši
25	asi
26	400
27	miliónů
28	USD
29	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	4	case
2	polském	ADJ	4	amod
3	ropném	ADJ	4	amod
4	sektoru	NOUN	5	obl
5	působí	VERB	0	root
6	v	ADP	8	case
7	současné	ADJ	8	amod
8	době	NOUN	5	obl
9	deset	NUM	10	nummod:gov
10	podniků	NOUN	5	nsubj
11	,	PUNCT	13	punct
12	které	DET	13	nsubj
13	vytvářejí	VERB	10	acl:relcl
14	8.5	NUM	15	nummod:gov
15	procenta	NOUN	13	obj
16	hrubého	ADJ	18	amod
17	domácího	ADJ	18	amod
18	produktu	NOUN	15	nmod
19	a	CCONJ	20	cc
20	dosahují	VERB	13	conj
21	ročního	ADJ	22	amod
22	zisku	NOUN	20	obl:arg
23	ve	ADP	24	case
24	výši	NOUN	22	nmod
25	asi	PART	26	advmod:emph
26	400	NUM	27	nummod:gov
27	miliónů	NOUN	24	nmod
28	USD	NOUN	27	nmod
29	.	PUNCT	5	punct