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:
Podobné případy byly v ČR zaznamenány již několikrát, ale podle pplk. Klášterského ani jednou se nepodařilo vypátrat, jak se zářící látka do odlitků dostala.
Postion	Tokenization
1	Podobné
2	případy
3	byly
4	v
5	ČR
6	zaznamenány
7	již
8	několikrát
9	,
10	ale
11	podle
12	pplk
13	.
14	Klášterského
15	ani
16	jednou
17	se
18	nepodařilo
19	vypátrat
20	,
21	jak
22	se
23	zářící
24	látka
25	do
26	odlitků
27	dostala
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Podobné	ADJ	2	amod
2	případy	NOUN	6	nsubj:pass
3	byly	AUX	6	aux:pass
4	v	ADP	5	case
5	ČR	PROPN	6	obl
6	zaznamenány	ADJ	0	root
7	již	ADV	8	advmod:emph
8	několikrát	ADV	6	obl
9	,	PUNCT	18	punct
10	ale	CCONJ	18	cc
11	podle	ADP	14	case
12	pplk	NOUN	14	nmod
13	.	PUNCT	12	punct
14	Klášterského	PROPN	18	obl
15	ani	CCONJ	16	advmod:emph
16	jednou	ADV	18	obl
17	se	PRON	18	expl:pv
18	nepodařilo	VERB	6	conj
19	vypátrat	VERB	18	csubj
20	,	PUNCT	27	punct
21	jak	ADV	27	advmod
22	se	PRON	27	expl:pv
23	zářící	ADJ	24	amod
24	látka	NOUN	27	nsubj
25	do	ADP	26	case
26	odlitků	NOUN	27	obl
27	dostala	VERB	19	ccomp
28	.	PUNCT	6	punct