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:
Výzvědná činnost udělala z Igora Kurčatova "nejinformovanějšího fyzika té doby - patrně on jediný z vědců znal tajemství jak americké, tak sovětské atomové pumy.
Postion	Tokenization
1	Výzvědná
2	činnost
3	udělala
4	z
5	Igora
6	Kurčatova
7	"
8	nejinformovanějšího
9	fyzika
10	té
11	doby
12	-
13	patrně
14	on
15	jediný
16	z
17	vědců
18	znal
19	tajemství
20	jak
21	americké
22	,
23	tak
24	sovětské
25	atomové
26	pumy
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Výzvědná	ADJ	2	amod
2	činnost	NOUN	3	nsubj
3	udělala	VERB	0	root
4	z	ADP	5	case
5	Igora	PROPN	3	obl:arg
6	Kurčatova	PROPN	5	flat
7	"	PUNCT	9	punct
8	nejinformovanějšího	ADJ	9	amod
9	fyzika	NOUN	3	obj
10	té	DET	11	det
11	doby	NOUN	9	nmod
12	-	PUNCT	18	punct
13	patrně	ADV	14	advmod:emph
14	on	PRON	18	nsubj
15	jediný	ADJ	14	xcomp
16	z	ADP	17	case
17	vědců	NOUN	15	nmod
18	znal	VERB	3	parataxis
19	tajemství	NOUN	18	obj
20	jak	ADV	21	cc
21	americké	ADJ	26	amod
22	,	PUNCT	24	punct
23	tak	CCONJ	24	cc
24	sovětské	ADJ	21	conj
25	atomové	ADJ	26	amod
26	pumy	NOUN	19	nmod
27	.	PUNCT	3	punct