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:
Nikde jinde tu skládku nechtěli z obavy před znehodnocením spodní vody - až naše obec ve vybudování smetiště, samozřejmě ekologického, spatřila řešení své špatné ekonomické situace.
Postion	Tokenization
1	Nikde
2	jinde
3	tu
4	skládku
5	nechtěli
6	z
7	obavy
8	před
9	znehodnocením
10	spodní
11	vody
12	-
13	až
14	naše
15	obec
16	ve
17	vybudování
18	smetiště
19	,
20	samozřejmě
21	ekologického
22	,
23	spatřila
24	řešení
25	své
26	špatné
27	ekonomické
28	situace
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Nikde	ADV	2	advmod
2	jinde	ADV	5	advmod
3	tu	DET	4	det
4	skládku	NOUN	5	obj
5	nechtěli	VERB	0	root
6	z	ADP	7	case
7	obavy	NOUN	5	obl
8	před	ADP	9	case
9	znehodnocením	NOUN	7	nmod
10	spodní	ADJ	11	amod
11	vody	NOUN	9	nmod
12	-	PUNCT	23	punct
13	až	PART	15	advmod:emph
14	naše	DET	15	det
15	obec	NOUN	23	nsubj
16	ve	ADP	17	case
17	vybudování	NOUN	23	obl
18	smetiště	NOUN	17	nmod
19	,	PUNCT	21	punct
20	samozřejmě	ADV	21	advmod
21	ekologického	ADJ	18	amod
22	,	PUNCT	21	punct
23	spatřila	VERB	5	conj
24	řešení	NOUN	23	obj
25	své	DET	28	det
26	špatné	ADJ	28	amod
27	ekonomické	ADJ	28	amod
28	situace	NOUN	24	nmod
29	.	PUNCT	5	punct