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:
Řada měst se totiž kvůli vysokým investicím na vybudování trolejbusové nebo tramvajové dopravy nezmůže a pokračuje tedy mnohem škodlivější veřejná doprava autobusy.
Postion	Tokenization
1	Řada
2	měst
3	se
4	totiž
5	kvůli
6	vysokým
7	investicím
8	na
9	vybudování
10	trolejbusové
11	nebo
12	tramvajové
13	dopravy
14	nezmůže
15	a
16	pokračuje
17	tedy
18	mnohem
19	škodlivější
20	veřejná
21	doprava
22	autobusy
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Řada	NOUN	14	nsubj
2	měst	NOUN	1	nmod
3	se	PRON	14	expl:pv
4	totiž	ADV	14	advmod
5	kvůli	ADP	7	case
6	vysokým	ADJ	7	amod
7	investicím	NOUN	14	obl
8	na	ADP	9	case
9	vybudování	NOUN	14	obl:arg
10	trolejbusové	ADJ	13	amod
11	nebo	CCONJ	12	cc
12	tramvajové	ADJ	10	conj
13	dopravy	NOUN	9	nmod
14	nezmůže	VERB	0	root
15	a	CCONJ	16	cc
16	pokračuje	VERB	14	conj
17	tedy	ADV	16	advmod
18	mnohem	ADV	19	advmod
19	škodlivější	ADJ	21	amod
20	veřejná	ADJ	21	amod
21	doprava	NOUN	16	nsubj
22	autobusy	NOUN	21	nmod
23	.	PUNCT	14	punct