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:
Hlavní správa Sboru požární ochrany ministerstva vnitra při vyšetřování zjistila, že nejmenovaná německá firma provádí na území SRN pod silnicí průraz pomocí vody, čímž se do řeky dostaly nečistoty.
Postion	Tokenization
1	Hlavní
2	správa
3	Sboru
4	požární
5	ochrany
6	ministerstva
7	vnitra
8	při
9	vyšetřování
10	zjistila
11	,
12	že
13	nejmenovaná
14	německá
15	firma
16	provádí
17	na
18	území
19	SRN
20	pod
21	silnicí
22	průraz
23	pomocí
24	vody
25	,
26	čímž
27	se
28	do
29	řeky
30	dostaly
31	nečistoty
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Hlavní	ADJ	2	amod
2	správa	NOUN	10	nsubj
3	Sboru	NOUN	2	nmod
4	požární	ADJ	5	amod
5	ochrany	NOUN	3	nmod
6	ministerstva	NOUN	7	nmod
7	vnitra	NOUN	3	nmod
8	při	ADP	9	case
9	vyšetřování	NOUN	10	obl
10	zjistila	VERB	0	root
11	,	PUNCT	16	punct
12	že	SCONJ	16	mark
13	nejmenovaná	ADJ	15	amod
14	německá	ADJ	15	amod
15	firma	NOUN	16	nsubj
16	provádí	VERB	10	ccomp
17	na	ADP	18	case
18	území	NOUN	16	obl
19	SRN	PROPN	18	nmod
20	pod	ADP	21	case
21	silnicí	NOUN	16	obl
22	průraz	NOUN	16	obj
23	pomocí	ADP	24	case
24	vody	NOUN	16	obl
25	,	PUNCT	30	punct
26	čímž	PRON	30	obl
27	se	PRON	30	expl:pv
28	do	ADP	29	case
29	řeky	NOUN	30	obl
30	dostaly	VERB	16	conj
31	nečistoty	NOUN	30	nsubj
32	.	PUNCT	10	punct