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:
Spojené státy uvádějí, že následkem porušování autorských práv čínskými podniky v oblasti kompaktních desek, videokazet a informatiky přicházejí americké společnosti každoročně zhruba o miliardu dolarů.
Postion	Tokenization
1	Spojené
2	státy
3	uvádějí
4	,
5	že
6	následkem
7	porušování
8	autorských
9	práv
10	čínskými
11	podniky
12	v
13	oblasti
14	kompaktních
15	desek
16	,
17	videokazet
18	a
19	informatiky
20	přicházejí
21	americké
22	společnosti
23	každoročně
24	zhruba
25	o
26	miliardu
27	dolarů
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Spojené	ADJ	2	amod
2	státy	NOUN	3	nsubj
3	uvádějí	VERB	0	root
4	,	PUNCT	20	punct
5	že	SCONJ	20	mark
6	následkem	NOUN	7	case
7	porušování	NOUN	20	obl
8	autorských	ADJ	9	amod
9	práv	NOUN	7	nmod
10	čínskými	ADJ	11	amod
11	podniky	NOUN	7	nmod
12	v	ADP	15	case
13	oblasti	NOUN	12	fixed
14	kompaktních	ADJ	15	amod
15	desek	NOUN	7	nmod
16	,	PUNCT	17	punct
17	videokazet	NOUN	15	conj
18	a	CCONJ	19	cc
19	informatiky	NOUN	15	conj
20	přicházejí	VERB	3	ccomp
21	americké	ADJ	22	amod
22	společnosti	NOUN	20	nsubj
23	každoročně	ADV	20	advmod
24	zhruba	ADV	26	advmod:emph
25	o	ADP	26	case
26	miliardu	NOUN	20	obl:arg
27	dolarů	NOUN	26	nmod
28	.	PUNCT	3	punct