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:
Tematicky je Traburův svět spontánní a jednoduchý, bez intelektuálních konceptů: zachycuje okamžiky, jež ho okouzlily, náladu, barvy, zajímavé předměty.
Postion	Tokenization
1	Tematicky
2	je
3	Traburův
4	svět
5	spontánní
6	a
7	jednoduchý
8	,
9	bez
10	intelektuálních
11	konceptů
12	:
13	zachycuje
14	okamžiky
15	,
16	jež
17	ho
18	okouzlily
19	,
20	náladu
21	,
22	barvy
23	,
24	zajímavé
25	předměty
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Tematicky	ADV	5	advmod
2	je	AUX	5	cop
3	Traburův	ADJ	4	amod
4	svět	NOUN	5	nsubj
5	spontánní	ADJ	0	root
6	a	CCONJ	7	cc
7	jednoduchý	ADJ	5	conj
8	,	PUNCT	11	punct
9	bez	ADP	11	case
10	intelektuálních	ADJ	11	amod
11	konceptů	NOUN	5	conj
12	:	PUNCT	13	punct
13	zachycuje	VERB	5	conj
14	okamžiky	NOUN	13	obj
15	,	PUNCT	18	punct
16	jež	PRON	18	nsubj
17	ho	PRON	18	obj
18	okouzlily	VERB	14	acl:relcl
19	,	PUNCT	20	punct
20	náladu	NOUN	14	conj
21	,	PUNCT	22	punct
22	barvy	NOUN	14	conj
23	,	PUNCT	25	punct
24	zajímavé	ADJ	25	amod
25	předměty	NOUN	14	conj
26	.	PUNCT	5	punct