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:
Duobus tedy jisté množství škodlivin do ovzduší přece jen emituje, ovšem v praxi bývá jeho přínos pro životní prostředí větší než u tichých a čistých trolejbusů.
Postion	Tokenization
1	Duobus
2	tedy
3	jisté
4	množství
5	škodlivin
6	do
7	ovzduší
8	přece
9	jen
10	emituje
11	,
12	ovšem
13	v
14	praxi
15	bývá
16	jeho
17	přínos
18	pro
19	životní
20	prostředí
21	větší
22	než
23	u
24	tichých
25	a
26	čistých
27	trolejbusů
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Duobus	NOUN	10	nsubj
2	tedy	ADV	10	advmod
3	jisté	ADJ	4	amod
4	množství	NOUN	10	obj
5	škodlivin	NOUN	4	nmod
6	do	ADP	7	case
7	ovzduší	NOUN	10	obl
8	přece	ADV	10	cc
9	jen	PART	8	fixed
10	emituje	VERB	0	root
11	,	PUNCT	21	punct
12	ovšem	CCONJ	21	cc
13	v	ADP	14	case
14	praxi	NOUN	21	obl
15	bývá	AUX	21	cop
16	jeho	DET	17	det
17	přínos	NOUN	21	nsubj
18	pro	ADP	20	case
19	životní	ADJ	20	amod
20	prostředí	NOUN	17	nmod
21	větší	ADJ	10	conj
22	než	SCONJ	27	mark
23	u	ADP	27	case
24	tichých	ADJ	27	amod
25	a	CCONJ	26	cc
26	čistých	ADJ	24	conj
27	trolejbusů	NOUN	21	dep
28	.	PUNCT	10	punct