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:
Po odečtení aktiva, které má na tzv. starém bloku, překročila ČR dohodnutý mezní úvěr o 77.99 mil. clearingových Ecu (asi 94 mil. dolarů).
Postion	Tokenization
1	Po
2	odečtení
3	aktiva
4	,
5	které
6	má
7	na
8	tzv
9	.
10	starém
11	bloku
12	,
13	překročila
14	ČR
15	dohodnutý
16	mezní
17	úvěr
18	o
19	77.99
20	mil
21	.
22	clearingových
23	Ecu
24	(
25	asi
26	94
27	mil
28	.
29	dolarů
30	)
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Po	ADP	2	case
2	odečtení	NOUN	13	obl
3	aktiva	NOUN	2	nmod
4	,	PUNCT	6	punct
5	které	DET	6	obj
6	má	VERB	3	acl:relcl
7	na	ADP	11	case
8	tzv	ADJ	11	amod
9	.	PUNCT	8	punct
10	starém	ADJ	11	amod
11	bloku	NOUN	6	obl
12	,	PUNCT	6	punct
13	překročila	VERB	0	root
14	ČR	PROPN	13	nsubj
15	dohodnutý	ADJ	17	amod
16	mezní	ADJ	17	amod
17	úvěr	NOUN	13	obj
18	o	ADP	19	case
19	77.99	NUM	13	obl
20	mil	NOUN	19	nmod
21	.	PUNCT	20	punct
22	clearingových	ADJ	23	amod
23	Ecu	NOUN	20	nmod
24	(	PUNCT	26	punct
25	asi	PART	26	advmod:emph
26	94	NUM	19	compound
27	mil	NOUN	26	nmod
28	.	PUNCT	27	punct
29	dolarů	NOUN	27	nmod
30	)	PUNCT	26	punct
31	.	PUNCT	13	punct