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:
Na dynamiku oboru, který v normálně fungujícím světě právě tou dobou ještě nabíral obrátky, už však nemohl stačit v podmínkách izolované ekonomiky sebegeniálnější konstruktér.
Postion	Tokenization
1	Na
2	dynamiku
3	oboru
4	,
5	který
6	v
7	normálně
8	fungujícím
9	světě
10	právě
11	tou
12	dobou
13	ještě
14	nabíral
15	obrátky
16	,
17	už
18	však
19	nemohl
20	stačit
21	v
22	podmínkách
23	izolované
24	ekonomiky
25	sebegeniálnější
26	konstruktér
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	2	case
2	dynamiku	NOUN	20	obl:arg
3	oboru	NOUN	2	nmod
4	,	PUNCT	14	punct
5	který	DET	14	nsubj
6	v	ADP	9	case
7	normálně	ADV	8	advmod
8	fungujícím	ADJ	9	amod
9	světě	NOUN	14	obl
10	právě	ADV	12	advmod:emph
11	tou	DET	12	det
12	dobou	NOUN	14	obl
13	ještě	ADV	14	advmod
14	nabíral	VERB	3	acl:relcl
15	obrátky	NOUN	14	obj
16	,	PUNCT	14	punct
17	už	ADV	19	advmod
18	však	CCONJ	19	cc
19	nemohl	VERB	0	root
20	stačit	VERB	19	xcomp
21	v	ADP	22	case
22	podmínkách	NOUN	20	obl
23	izolované	ADJ	24	amod
24	ekonomiky	NOUN	22	nmod
25	sebegeniálnější	ADJ	26	amod
26	konstruktér	NOUN	19	nsubj
27	.	PUNCT	19	punct