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:
Jedním z důsledků rozdělení Československa je rozšíření prostoru pro ideology provinciální sebezahleděnosti a izolacionismu, a to na obou březích řeky Moravy.
Postion	Tokenization
1	Jedním
2	z
3	důsledků
4	rozdělení
5	Československa
6	je
7	rozšíření
8	prostoru
9	pro
10	ideology
11	provinciální
12	sebezahleděnosti
13	a
14	izolacionismu
15	,
16	a
17	to
18	na
19	obou
20	březích
21	řeky
22	Moravy
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Jedním	NUM	0	root
2	z	ADP	3	case
3	důsledků	NOUN	1	nmod
4	rozdělení	NOUN	3	nmod
5	Československa	PROPN	4	nmod
6	je	AUX	1	cop
7	rozšíření	NOUN	1	nsubj
8	prostoru	NOUN	7	nmod
9	pro	ADP	10	case
10	ideology	NOUN	8	nmod
11	provinciální	ADJ	12	amod
12	sebezahleděnosti	NOUN	10	nmod
13	a	CCONJ	14	cc
14	izolacionismu	NOUN	12	conj
15	,	PUNCT	20	punct
16	a	CCONJ	20	cc
17	to	PART	16	fixed
18	na	ADP	20	case
19	obou	NUM	20	nummod
20	březích	NOUN	7	nmod
21	řeky	NOUN	20	nmod
22	Moravy	PROPN	21	nmod
23	.	PUNCT	1	punct