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:
Složitost odpovědi vyplývá z faktu - a Slováci na něj hřeší - že na zrušení společného ekonomického prostoru nutně doplatíme také, byť podstatně méně, než samotná Bratislava.
Postion	Tokenization
1	Složitost
2	odpovědi
3	vyplývá
4	z
5	faktu
6	-
7	a
8	Slováci
9	na
10	něj
11	hřeší
12	-
13	že
14	na
15	zrušení
16	společného
17	ekonomického
18	prostoru
19	nutně
20	doplatíme
21	také
22	,
23	byť
24	podstatně
25	méně
26	,
27	než
28	samotná
29	Bratislava
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Složitost	NOUN	3	nsubj
2	odpovědi	NOUN	1	nmod
3	vyplývá	VERB	0	root
4	z	ADP	5	case
5	faktu	NOUN	3	obl:arg
6	-	PUNCT	11	punct
7	a	CCONJ	11	cc
8	Slováci	PROPN	11	nsubj
9	na	ADP	10	case
10	něj	PRON	11	obl:arg
11	hřeší	VERB	5	parataxis
12	-	PUNCT	11	punct
13	že	SCONJ	20	mark
14	na	ADP	15	case
15	zrušení	NOUN	20	obl:arg
16	společného	ADJ	18	amod
17	ekonomického	ADJ	18	amod
18	prostoru	NOUN	15	nmod
19	nutně	ADV	20	advmod
20	doplatíme	VERB	5	acl
21	také	ADV	20	advmod
22	,	PUNCT	25	punct
23	byť	SCONJ	25	mark
24	podstatně	ADV	25	advmod
25	méně	ADV	20	dep
26	,	PUNCT	29	punct
27	než	SCONJ	29	mark
28	samotná	ADJ	29	amod
29	Bratislava	PROPN	25	advcl
30	.	PUNCT	3	punct