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:
Tvrdit něco takového v době, kdy státní dluh činí dva biliony marek a nové zadlužení 70 miliard, znamená podceňovat soudnost voličů, dodal Scharping.
Postion	Tokenization
1	Tvrdit
2	něco
3	takového
4	v
5	době
6	,
7	kdy
8	státní
9	dluh
10	činí
11	dva
12	biliony
13	marek
14	_
15	a
16	nové
17	zadlužení
18	70
19	miliard
20	,
21	znamená
22	podceňovat
23	soudnost
24	voličů
25	,
26	dodal
27	Scharping
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Tvrdit	VERB	20	csubj
2	něco	PRON	1	obj
3	takového	DET	2	amod
4	v	ADP	5	case
5	době	NOUN	1	obl
6	,	PUNCT	10	punct
7	kdy	ADV	10	advmod
8	státní	ADJ	9	amod
9	dluh	NOUN	10	nsubj
10	činí	VERB	5	acl:relcl
11	dva	NUM	12	nummod
12	biliony	NOUN	10	obj
13	marek	NOUN	12	nmod
14	_	_	None	_
15	a	CCONJ	16	cc
16	nové	ADJ	16	amod
17	zadlužení	NOUN	10	conj
18	70	NUM	18	nummod:gov
19	miliard	NOUN	16	orphan
20	,	PUNCT	10	punct
21	znamená	VERB	25	ccomp
22	podceňovat	VERB	20	xcomp
23	soudnost	NOUN	21	obj
24	voličů	NOUN	22	nmod
25	,	PUNCT	20	punct
26	dodal	VERB	0	root
27	Scharping	PROPN	25	nsubj
28	.	PUNCT	25	punct