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:
Citem pro vyjádření přírodních dějů v jejich mnohoznačnosti a zároveň chápáním přesných zákonitostí vesmírného řádu se stal jeho předchůdcem Vasilij Kandinskij.
Postion	Tokenization
1	Citem
2	pro
3	vyjádření
4	přírodních
5	dějů
6	v
7	jejich
8	mnohoznačnosti
9	a
10	zároveň
11	chápáním
12	přesných
13	zákonitostí
14	vesmírného
15	řádu
16	se
17	stal
18	jeho
19	předchůdcem
20	Vasilij
21	Kandinskij
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Citem	NOUN	0	root
2	pro	ADP	3	case
3	vyjádření	NOUN	1	nmod
4	přírodních	ADJ	5	amod
5	dějů	NOUN	3	nmod
6	v	ADP	8	case
7	jejich	DET	8	det
8	mnohoznačnosti	NOUN	3	nmod
9	a	CCONJ	1	cc
10	zároveň	ADV	17	advmod
11	chápáním	NOUN	17	obl
12	přesných	ADJ	13	amod
13	zákonitostí	NOUN	11	nmod
14	vesmírného	ADJ	15	amod
15	řádu	NOUN	13	nmod
16	se	PRON	17	expl:pv
17	stal	VERB	1	parataxis
18	jeho	DET	19	det
19	předchůdcem	NOUN	17	obl:arg
20	Vasilij	PROPN	17	nsubj
21	Kandinskij	PROPN	20	flat
22	.	PUNCT	1	punct