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 základě svědectví radiologa společnosti Andreje Solotkova, podnikových záznamů a norských vojenských zdrojů Hauge identifikoval 21 jaderných reaktorů, většinou z ponorek, potopených v Barentsově a Karském moři.
Postion	Tokenization
1	Na
2	základě
3	svědectví
4	radiologa
5	společnosti
6	Andreje
7	Solotkova
8	,
9	podnikových
10	záznamů
11	a
12	norských
13	vojenských
14	zdrojů
15	Hauge
16	identifikoval
17	21
18	jaderných
19	reaktorů
20	,
21	většinou
22	z
23	ponorek
24	,
25	potopených
26	v
27	Barentsově
28	a
29	Karském
30	moři
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	3	case
2	základě	NOUN	1	fixed
3	svědectví	NOUN	16	obl
4	radiologa	NOUN	3	nmod
5	společnosti	NOUN	4	nmod
6	Andreje	PROPN	4	flat
7	Solotkova	PROPN	4	flat
8	,	PUNCT	10	punct
9	podnikových	ADJ	10	amod
10	záznamů	NOUN	3	conj
11	a	CCONJ	14	cc
12	norských	ADJ	14	amod
13	vojenských	ADJ	14	amod
14	zdrojů	NOUN	3	conj
15	Hauge	PROPN	16	nsubj
16	identifikoval	VERB	0	root
17	21	NUM	19	nummod:gov
18	jaderných	ADJ	19	amod
19	reaktorů	NOUN	16	obj
20	,	PUNCT	19	punct
21	většinou	ADV	19	dep
22	z	ADP	23	case
23	ponorek	NOUN	19	dep
24	,	PUNCT	25	punct
25	potopených	ADJ	23	amod
26	v	ADP	30	case
27	Barentsově	ADJ	30	amod
28	a	CCONJ	29	cc
29	Karském	ADJ	27	conj
30	moři	NOUN	25	obl
31	.	PUNCT	16	punct