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:
Zatím nejmodernější biologicko-mechanická čistička odpadních vod tuzemské provenience se minulý týden začala stavět v nejvýše položené obci České republiky - v Božím Daru v Krušných horách.
Postion	Tokenization
1	Zatím
2	nejmodernější
3	biologicko
4	-
5	mechanická
6	čistička
7	odpadních
8	vod
9	tuzemské
10	provenience
11	se
12	minulý
13	týden
14	začala
15	stavět
16	v
17	nejvýše
18	položené
19	obci
20	České
21	republiky
22	-
23	v
24	Božím
25	Daru
26	v
27	Krušných
28	horách
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Zatím	ADV	2	advmod
2	nejmodernější	ADJ	6	amod
3	biologicko	ADJ	6	amod
4	-	PUNCT	5	punct
5	mechanická	ADJ	3	conj
6	čistička	NOUN	14	nsubj:pass
7	odpadních	ADJ	8	amod
8	vod	NOUN	6	nmod
9	tuzemské	ADJ	10	amod
10	provenience	NOUN	6	nmod
11	se	PRON	14	expl:pass
12	minulý	ADJ	13	amod
13	týden	NOUN	14	obl
14	začala	VERB	0	root
15	stavět	VERB	14	xcomp
16	v	ADP	19	case
17	nejvýše	ADV	18	advmod
18	položené	ADJ	19	amod
19	obci	NOUN	14	obl
20	České	ADJ	21	amod
21	republiky	NOUN	19	nmod
22	-	PUNCT	25	punct
23	v	ADP	25	case
24	Božím	ADJ	25	amod
25	Daru	NOUN	19	appos
26	v	ADP	28	case
27	Krušných	ADJ	28	amod
28	horách	NOUN	25	nmod
29	.	PUNCT	14	punct