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:
Kromě přímých ztrát přinášejí tyto postupy značné nároky na dopravu a ukládání suti, zvýšení prašnosti - tedy výrazně negativní dopad na životní prostředí.
Postion	Tokenization
1	Kromě
2	přímých
3	ztrát
4	přinášejí
5	tyto
6	postupy
7	značné
8	nároky
9	na
10	dopravu
11	a
12	ukládání
13	suti
14	,
15	zvýšení
16	prašnosti
17	-
18	tedy
19	výrazně
20	negativní
21	dopad
22	na
23	životní
24	prostředí
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Kromě	ADP	3	case
2	přímých	ADJ	3	amod
3	ztrát	NOUN	4	obl
4	přinášejí	VERB	0	root
5	tyto	DET	6	det
6	postupy	NOUN	4	nsubj
7	značné	ADJ	8	amod
8	nároky	NOUN	4	obj
9	na	ADP	10	case
10	dopravu	NOUN	8	nmod
11	a	CCONJ	12	cc
12	ukládání	NOUN	10	conj
13	suti	NOUN	10	nmod
14	,	PUNCT	15	punct
15	zvýšení	NOUN	8	conj
16	prašnosti	NOUN	15	nmod
17	-	PUNCT	21	punct
18	tedy	ADV	21	cc
19	výrazně	ADV	20	advmod
20	negativní	ADJ	21	amod
21	dopad	NOUN	8	appos
22	na	ADP	24	case
23	životní	ADJ	24	amod
24	prostředí	NOUN	21	nmod
25	.	PUNCT	4	punct