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 text: Celkem 135000 kusů plůdku pstruha obecného v hodnotě nejméně 20000 korun uhynulo z dosud nezjištěných příčin v noci na úterý v nádržích pro chov plůdku v objektu Českého rybářského svazu ve Vimperku na Prachaticku.
Position	Tokenization	UPOS	Head	Deprel
1	Celkem	ADV	2	advmod:emph
2	135000	NUM	3	nummod:gov
3	kusů	NOUN	12	nsubj
4	plůdku	NOUN	3	nmod
5	pstruha	NOUN	4	nmod
6	obecného	ADJ	5	amod
7	v	ADP	8	case
8	hodnotě	NOUN	3	nmod
9	nejméně	ADV	11	advmod:emph
10	20000	NUM	11	nummod
11	korun	NOUN	8	nmod
12	uhynulo	VERB	0	root
13	z	ADP	16	case
14	dosud	ADV	15	advmod
15	nezjištěných	ADJ	16	amod
16	příčin	NOUN	12	obl
17	v	ADP	18	case
18	noci	NOUN	12	obl
19	na	ADP	20	case
20	úterý	NOUN	18	nmod
21	v	ADP	22	case
22	nádržích	NOUN	12	obl
23	pro	ADP	24	case
24	chov	NOUN	22	nmod
25	plůdku	NOUN	24	nmod
26	v	ADP	27	case
27	objektu	NOUN	22	nmod
28	Českého	ADJ	30	amod
29	rybářského	ADJ	30	amod
30	svazu	NOUN	27	nmod
31	ve	ADP	32	case
32	Vimperku	PROPN	30	nmod
33	na	ADP	34	case
34	Prachaticku	PROPN	32	nmod
35	.	PUNCT	12	punct