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 text: Spojené státy uvádějí, že následkem neoprávněného využívání autorských práv z čínské strany, a to pouze v oblasti kompaktních disků, videokazet a informatiky, ztrácely americké společnosti každoročně kolem miliardy dolarů.
Position	Tokenization	UPOS	Head	Deprel
1	Spojené	ADJ	2	amod
2	státy	NOUN	3	nsubj
3	uvádějí	VERB	0	root
4	,	PUNCT	27	punct
5	že	SCONJ	27	mark
6	následkem	NOUN	8	case
7	neoprávněného	ADJ	8	amod
8	využívání	NOUN	27	obl
9	autorských	ADJ	10	amod
10	práv	NOUN	8	nmod
11	z	ADP	13	case
12	čínské	ADJ	13	amod
13	strany	NOUN	8	nmod
14	,	PUNCT	21	punct
15	a	CCONJ	21	cc
16	to	PART	15	fixed
17	pouze	ADV	21	advmod:emph
18	v	ADP	21	case
19	oblasti	NOUN	18	fixed
20	kompaktních	ADJ	21	amod
21	disků	NOUN	8	nmod
22	,	PUNCT	23	punct
23	videokazet	NOUN	21	conj
24	a	CCONJ	25	cc
25	informatiky	NOUN	21	conj
26	,	PUNCT	21	punct
27	ztrácely	VERB	3	ccomp
28	americké	ADJ	29	amod
29	společnosti	NOUN	27	nsubj
30	každoročně	ADV	27	advmod
31	kolem	ADP	32	case
32	miliardy	NOUN	27	obl:arg
33	dolarů	NOUN	32	nmod
34	.	PUNCT	3	punct