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:
Spalovací motor pak používá na předměstích, kde je provoz řidší a exhalace se snáze rozptylují a kde by se v důsledku slabého provozu nevyplatila trolej s měnírnou.
Postion	Tokenization
1	Spalovací
2	motor
3	pak
4	používá
5	na
6	předměstích
7	,
8	kde
9	je
10	provoz
11	řidší
12	a
13	exhalace
14	se
15	snáze
16	rozptylují
17	a
18	kde
19	by
20	se
21	v
22	důsledku
23	slabého
24	provozu
25	nevyplatila
26	trolej
27	s
28	měnírnou
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Spalovací	ADJ	2	amod
2	motor	NOUN	4	obj
3	pak	ADV	4	advmod
4	používá	VERB	0	root
5	na	ADP	6	case
6	předměstích	NOUN	4	obl
7	,	PUNCT	11	punct
8	kde	ADV	11	advmod
9	je	AUX	11	cop
10	provoz	NOUN	11	nsubj
11	řidší	ADJ	6	acl:relcl
12	a	CCONJ	16	cc
13	exhalace	NOUN	16	nsubj
14	se	PRON	16	expl:pv
15	snáze	ADV	16	advmod
16	rozptylují	VERB	11	conj
17	a	CCONJ	25	cc
18	kde	ADV	25	advmod
19	by	AUX	25	aux
20	se	PRON	25	expl:pv
21	v	ADP	24	case
22	důsledku	NOUN	21	fixed
23	slabého	ADJ	24	amod
24	provozu	NOUN	25	obl
25	nevyplatila	VERB	11	conj
26	trolej	NOUN	25	nsubj
27	s	ADP	28	case
28	měnírnou	NOUN	26	nmod
29	.	PUNCT	4	punct