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:
Jak sdělil LN mluvčí České národní banky Martin Švehla, dosáhl k 31. srpnu 213.3 mil. clearingových Ecu, což je v přepočtu přibližně 7.3 mld. korun.
Postion	Tokenization
1	Jak
2	sdělil
3	LN
4	mluvčí
5	České
6	národní
7	banky
8	Martin
9	Švehla
10	,
11	dosáhl
12	k
13	31
14	.
15	srpnu
16	213.3
17	mil
18	.
19	clearingových
20	Ecu
21	,
22	což
23	je
24	v
25	přepočtu
26	přibližně
27	7.3
28	mld
29	.
30	korun
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Jak	SCONJ	2	mark
2	sdělil	VERB	11	parataxis
3	LN	PROPN	2	obj
4	mluvčí	NOUN	2	nsubj
5	České	ADJ	7	amod
6	národní	ADJ	7	amod
7	banky	NOUN	4	nmod
8	Martin	PROPN	4	flat
9	Švehla	PROPN	4	flat
10	,	PUNCT	2	punct
11	dosáhl	VERB	0	root
12	k	ADP	15	case
13	31	NUM	15	nummod
14	.	PUNCT	13	punct
15	srpnu	NOUN	11	obl
16	213.3	NUM	11	obj
17	mil	NOUN	16	nmod
18	.	PUNCT	17	punct
19	clearingových	ADJ	20	amod
20	Ecu	NOUN	16	nmod
21	,	PUNCT	27	punct
22	což	PRON	27	nsubj
23	je	AUX	27	cop
24	v	ADP	25	case
25	přepočtu	NOUN	27	obl
26	přibližně	ADV	27	advmod
27	7.3	NUM	11	conj
28	mld	NOUN	27	nmod
29	.	PUNCT	28	punct
30	korun	NOUN	28	nmod
31	.	PUNCT	11	punct