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:
Jednou z příčin úspěchu bylo, že Krupp současně s využíváním ukradených informací zamezil tomu, aby někdo jiný nekradl nápady, postupy a poznatky jemu.
Postion	Tokenization
1	Jednou
2	z
3	příčin
4	úspěchu
5	bylo
6	,
7	že
8	Krupp
9	současně
10	s
11	využíváním
12	ukradených
13	informací
14	zamezil
15	tomu
16	,
17	aby
18	aby
19	by
20	někdo
21	jiný
22	nekradl
23	nápady
24	,
25	postupy
26	a
27	poznatky
28	jemu
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Jednou	NUM	0	root
2	z	ADP	3	case
3	příčin	NOUN	1	nmod
4	úspěchu	NOUN	3	nmod
5	bylo	AUX	1	cop
6	,	PUNCT	14	punct
7	že	SCONJ	14	mark
8	Krupp	PROPN	14	nsubj
9	současně	ADV	11	case
10	s	ADP	9	fixed
11	využíváním	NOUN	14	obl
12	ukradených	ADJ	13	amod
13	informací	NOUN	11	nmod
14	zamezil	VERB	1	csubj
15	tomu	DET	14	obl:arg
16	,	PUNCT	21	punct
17	aby	_	None	_
18	aby	SCONJ	21	mark
19	by	AUX	21	aux
20	někdo	PRON	21	nsubj
21	jiný	ADJ	19	amod
22	nekradl	VERB	15	acl
23	nápady	NOUN	21	obj
24	,	PUNCT	24	punct
25	postupy	NOUN	22	conj
26	a	CCONJ	26	cc
27	poznatky	NOUN	22	conj
28	jemu	PRON	21	obl:arg
29	.	PUNCT	1	punct