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: Vysoké hodnoty koncentrace především rtuti byly naměřeny v Labi (Děčín), Otavě (Písek), Bílině (Ústí nad Labem), Moravě (Lanžhot), Bečvě (Troubky), Svratce (Vranovice a Jihlava).
Position	Tokenization	UPOS	Head	Deprel
1	Vysoké	ADJ	2	amod
2	hodnoty	NOUN	7	nsubj:pass
3	koncentrace	NOUN	2	nmod
4	především	ADV	5	advmod:emph
5	rtuti	NOUN	3	nmod
6	byly	AUX	7	aux:pass
7	naměřeny	ADJ	0	root
8	v	ADP	9	case
9	Labi	PROPN	7	obl
10	(	PUNCT	9	punct
11	Děčín	PROPN	9	dep
12	)	PUNCT	9	punct
13	,	PUNCT	14	punct
14	Otavě	PROPN	9	conj
15	(	PUNCT	14	punct
16	Písek	PROPN	14	dep
17	)	PUNCT	14	punct
18	,	PUNCT	19	punct
19	Bílině	PROPN	9	conj
20	(	PUNCT	19	punct
21	Ústí	PROPN	19	dep
22	nad	ADP	23	case
23	Labem	PROPN	21	nmod
24	)	PUNCT	19	punct
25	,	PUNCT	26	punct
26	Moravě	PROPN	9	conj
27	(	PUNCT	26	punct
28	Lanžhot	PROPN	26	dep
29	)	PUNCT	26	punct
30	,	PUNCT	31	punct
31	Bečvě	PROPN	9	conj
32	(	PUNCT	31	punct
33	Troubky	PROPN	31	dep
34	)	PUNCT	31	punct
35	,	PUNCT	36	punct
36	Svratce	PROPN	9	conj
37	(	PUNCT	38	punct
38	Vranovice	PROPN	36	dep
39	a	CCONJ	40	cc
40	Jihlava	PROPN	38	conj
41	)	PUNCT	38	punct
42	.	PUNCT	7	punct