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: Jak bylo zjištěno v projektu Labe, znečištění sedimentů na dně toků toxickými látkami, například rtutí, olovem, kadmiem, pesticidy nebo radionuklidy, je v některých tocích stále velmi výrazné.
Position	Tokenization	UPOS	Head	Deprel
1	Jak	ADV	3	advmod
2	bylo	AUX	3	aux:pass
3	zjištěno	ADJ	33	parataxis
4	v	ADP	5	case
5	projektu	NOUN	3	obl
6	Labe	PROPN	5	nmod
7	,	PUNCT	3	punct
8	znečištění	NOUN	33	nsubj
9	sedimentů	NOUN	8	nmod
10	na	ADP	11	case
11	dně	NOUN	8	nmod
12	toků	NOUN	11	nmod
13	toxickými	ADJ	14	amod
14	látkami	NOUN	8	nmod
15	,	PUNCT	17	punct
16	například	ADV	17	cc
17	rtutí	NOUN	14	appos
18	,	PUNCT	19	punct
19	olovem	NOUN	17	conj
20	,	PUNCT	21	punct
21	kadmiem	NOUN	17	conj
22	,	PUNCT	23	punct
23	pesticidy	NOUN	17	conj
24	nebo	CCONJ	25	cc
25	radionuklidy	NOUN	17	conj
26	,	PUNCT	17	punct
27	je	AUX	33	cop
28	v	ADP	30	case
29	některých	DET	30	det
30	tocích	NOUN	33	obl
31	stále	ADV	33	advmod
32	velmi	ADV	33	advmod
33	výrazné	ADJ	0	root
34	.	PUNCT	33	punct