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: "Přes deset miliard korun snížené platební neschopnosti představuje procento úspěšnosti u českých podniků 22.3 procenta ze 46.1 miliardy korun potvrzených závazků, což byl maximálně dosažitelný efekt," dodal.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	9	punct
2	Přes	ADP	4	case
3	deset	NUM	4	nummod:gov
4	miliard	NOUN	9	nsubj
5	korun	NOUN	4	nmod
6	snížené	ADJ	8	amod
7	platební	ADJ	8	amod
8	neschopnosti	NOUN	4	nmod
9	představuje	VERB	31	ccomp
10	procento	NOUN	9	obj
11	úspěšnosti	NOUN	10	nmod
12	u	ADP	14	case
13	českých	ADJ	14	amod
14	podniků	NOUN	11	nmod
15	22.3	NUM	16	nummod:gov
16	procenta	NOUN	10	nmod
17	ze	ADP	19	case
18	46.1	NUM	19	nummod:gov
19	miliardy	NOUN	16	nmod
20	korun	NOUN	19	nmod
21	potvrzených	ADJ	22	amod
22	závazků	NOUN	19	nmod
23	,	PUNCT	28	punct
24	což	PRON	28	nsubj
25	byl	AUX	28	cop
26	maximálně	ADV	27	advmod
27	dosažitelný	ADJ	28	amod
28	efekt	NOUN	9	conj
29	,	PUNCT	9	punct
30	"	PUNCT	9	punct
31	dodal	VERB	0	root
32	.	PUNCT	31	punct