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:
Známý fyzik Julij Chariton, kterému je 88 let, podal své svědectví ke sporu o tom, zda SSSR získal atomové zbraně zásluhou především sovětské výzvědné služby nebo svých vlastních vědců.
Postion	Tokenization
1	Známý
2	fyzik
3	Julij
4	Chariton
5	,
6	kterému
7	je
8	88
9	let
10	,
11	podal
12	své
13	svědectví
14	ke
15	sporu
16	o
17	tom
18	,
19	zda
20	SSSR
21	získal
22	atomové
23	zbraně
24	zásluhou
25	především
26	sovětské
27	výzvědné
28	služby
29	nebo
30	svých
31	vlastních
32	vědců
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Známý	ADJ	2	amod
2	fyzik	NOUN	11	nsubj
3	Julij	PROPN	2	flat
4	Chariton	PROPN	2	flat
5	,	PUNCT	7	punct
6	kterému	DET	7	obl
7	je	VERB	2	acl:relcl
8	88	NUM	9	nummod:gov
9	let	NOUN	7	nsubj
10	,	PUNCT	7	punct
11	podal	VERB	0	root
12	své	DET	13	det
13	svědectví	NOUN	11	obj
14	ke	ADP	15	case
15	sporu	NOUN	13	nmod
16	o	ADP	17	case
17	tom	DET	15	det
18	,	PUNCT	21	punct
19	zda	SCONJ	21	mark
20	SSSR	PROPN	21	nsubj
21	získal	VERB	17	acl
22	atomové	ADJ	23	amod
23	zbraně	NOUN	21	obj
24	zásluhou	NOUN	28	case
25	především	ADV	28	advmod:emph
26	sovětské	ADJ	28	amod
27	výzvědné	ADJ	28	amod
28	služby	NOUN	21	obl
29	nebo	CCONJ	32	cc
30	svých	DET	32	det
31	vlastních	ADJ	32	amod
32	vědců	NOUN	28	conj
33	.	PUNCT	11	punct