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:
Ke vzniku nových republik v rámci Ruské federace přispívá i fakt, že důležité oblasti mají z čistě právního hlediska menší práva než někdy málo významné republiky.
Postion	Tokenization
1	Ke
2	vzniku
3	nových
4	republik
5	v
6	rámci
7	Ruské
8	federace
9	přispívá
10	i
11	fakt
12	,
13	že
14	důležité
15	oblasti
16	mají
17	z
18	čistě
19	právního
20	hlediska
21	menší
22	práva
23	než
24	někdy
25	málo
26	významné
27	republiky
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Ke	ADP	2	case
2	vzniku	NOUN	9	obl:arg
3	nových	ADJ	4	amod
4	republik	NOUN	2	nmod
5	v	ADP	8	case
6	rámci	NOUN	5	fixed
7	Ruské	ADJ	8	amod
8	federace	NOUN	4	nmod
9	přispívá	VERB	0	root
10	i	CCONJ	11	advmod:emph
11	fakt	NOUN	9	nsubj
12	,	PUNCT	16	punct
13	že	SCONJ	16	mark
14	důležité	ADJ	15	amod
15	oblasti	NOUN	16	nsubj
16	mají	VERB	11	acl
17	z	ADP	20	case
18	čistě	ADV	19	advmod
19	právního	ADJ	20	amod
20	hlediska	NOUN	16	obl
21	menší	ADJ	22	amod
22	práva	NOUN	16	obj
23	než	SCONJ	27	mark
24	někdy	ADV	26	advmod
25	málo	ADV	26	advmod
26	významné	ADJ	27	amod
27	republiky	NOUN	21	advcl
28	.	PUNCT	9	punct