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:
Devalvace je nicméně až posledním krokem pro případ, že by se nepodařilo vylepšit obchodní bilanci se zahraničím, kde Polsko vykazuje schodek 1.18 miliardy dolaru.
Postion	Tokenization
1	Devalvace
2	je
3	nicméně
4	až
5	posledním
6	krokem
7	pro
8	případ
9	,
10	že
11	by
12	se
13	nepodařilo
14	vylepšit
15	obchodní
16	bilanci
17	se
18	zahraničím
19	,
20	kde
21	Polsko
22	vykazuje
23	schodek
24	1.18
25	miliardy
26	dolaru
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Devalvace	NOUN	6	nsubj
2	je	AUX	6	cop
3	nicméně	CCONJ	6	cc
4	až	PART	6	advmod:emph
5	posledním	ADJ	6	amod
6	krokem	NOUN	0	root
7	pro	ADP	8	case
8	případ	NOUN	6	nmod
9	,	PUNCT	13	punct
10	že	SCONJ	13	mark
11	by	AUX	13	aux
12	se	PRON	13	expl:pv
13	nepodařilo	VERB	8	acl
14	vylepšit	VERB	13	csubj
15	obchodní	ADJ	16	amod
16	bilanci	NOUN	14	obj
17	se	ADP	18	case
18	zahraničím	NOUN	16	nmod
19	,	PUNCT	22	punct
20	kde	ADV	22	advmod
21	Polsko	PROPN	22	nsubj
22	vykazuje	VERB	16	acl:relcl
23	schodek	NOUN	22	obj
24	1.18	NUM	25	nummod:gov
25	miliardy	NOUN	23	nmod
26	dolaru	NOUN	25	nmod
27	.	PUNCT	6	punct