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: Postup transformace největší tuzemské obuvnické společnosti je podle Lukavského negativně ovlivněn především nesplacenou pohledávkou v Rusku, kam Svit vyvezl na základě mezivládní clearingové dohody zboží v hodnotě 45 miliónů dolarů.
Position	Tokenization	UPOS	Head	Deprel
1	Postup	NOUN	11	nsubj
2	transformace	NOUN	1	nmod
3	největší	ADJ	6	amod
4	tuzemské	ADJ	6	amod
5	obuvnické	ADJ	6	amod
6	společnosti	NOUN	2	nmod
7	je	AUX	11	cop
8	podle	ADP	9	case
9	Lukavského	PROPN	11	obl
10	negativně	ADV	11	advmod
11	ovlivněn	ADJ	0	root
12	především	ADV	14	advmod:emph
13	nesplacenou	ADJ	14	amod
14	pohledávkou	NOUN	11	obl
15	v	ADP	16	case
16	Rusku	PROPN	14	nmod
17	,	PUNCT	20	punct
18	kam	ADV	20	advmod
19	Svit	NOUN	20	nsubj
20	vyvezl	VERB	16	acl:relcl
21	na	ADP	25	case
22	základě	NOUN	21	fixed
23	mezivládní	ADJ	25	amod
24	clearingové	ADJ	25	amod
25	dohody	NOUN	20	obl
26	zboží	NOUN	20	obj
27	v	ADP	28	case
28	hodnotě	NOUN	26	nmod
29	45	NUM	30	nummod:gov
30	miliónů	NOUN	28	nmod
31	dolarů	NOUN	30	nmod
32	.	PUNCT	11	punct