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:
Nadále se v ČR udržuje bezpříkladná stabilita národní měny, aktivní bilance státního rozpočtu a platební bilance, výjimečně nízká úroveň nezaměstnanosti, příznivá inflace a bilance zahraničního obchodu.
Postion	Tokenization
1	Nadále
2	se
3	v
4	ČR
5	udržuje
6	bezpříkladná
7	stabilita
8	národní
9	měny
10	,
11	aktivní
12	bilance
13	státního
14	rozpočtu
15	a
16	platební
17	bilance
18	,
19	výjimečně
20	nízká
21	úroveň
22	nezaměstnanosti
23	,
24	příznivá
25	inflace
26	a
27	bilance
28	zahraničního
29	obchodu
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Nadále	ADV	5	advmod
2	se	PRON	5	expl:pass
3	v	ADP	4	case
4	ČR	PROPN	5	obl
5	udržuje	VERB	0	root
6	bezpříkladná	ADJ	7	amod
7	stabilita	NOUN	5	nsubj:pass
8	národní	ADJ	9	amod
9	měny	NOUN	7	nmod
10	,	PUNCT	12	punct
11	aktivní	ADJ	12	amod
12	bilance	NOUN	7	conj
13	státního	ADJ	14	amod
14	rozpočtu	NOUN	12	nmod
15	a	CCONJ	17	cc
16	platební	ADJ	17	amod
17	bilance	NOUN	12	conj
18	,	PUNCT	21	punct
19	výjimečně	ADV	20	advmod
20	nízká	ADJ	21	amod
21	úroveň	NOUN	7	conj
22	nezaměstnanosti	NOUN	21	nmod
23	,	PUNCT	25	punct
24	příznivá	ADJ	25	amod
25	inflace	NOUN	7	conj
26	a	CCONJ	27	cc
27	bilance	NOUN	7	conj
28	zahraničního	ADJ	29	amod
29	obchodu	NOUN	27	nmod
30	.	PUNCT	5	punct