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:
O další vozy budou rozšířeny pravidelné rychlíkové spoje Brno- Praha (odjezd ve 14.06 hod.) a Břeclav- Brno- Praha (odjezd ve 14.40 hod.).
Postion	Tokenization
1	O
2	další
3	vozy
4	budou
5	rozšířeny
6	pravidelné
7	rychlíkové
8	spoje
9	Brno
10	-
11	Praha
12	(
13	odjezd
14	ve
15	14.06
16	hod
17	.
18	)
19	a
20	Břeclav
21	-
22	Brno
23	-
24	Praha
25	(
26	odjezd
27	ve
28	14.40
29	hod
30	.
31	)
32	.
Position	Tokenization	UPOS	Head	Deprel
1	O	ADP	3	case
2	další	ADJ	3	amod
3	vozy	NOUN	5	obl:arg
4	budou	AUX	5	aux:pass
5	rozšířeny	ADJ	0	root
6	pravidelné	ADJ	8	amod
7	rychlíkové	ADJ	8	amod
8	spoje	NOUN	5	nsubj:pass
9	Brno	PROPN	8	nmod
10	-	PUNCT	11	punct
11	Praha	PROPN	9	conj
12	(	PUNCT	9	punct
13	odjezd	NOUN	9	dep
14	ve	ADP	15	case
15	14.06	NUM	13	nummod
16	hod	NOUN	15	nmod
17	.	PUNCT	16	punct
18	)	PUNCT	9	punct
19	a	CCONJ	20	cc
20	Břeclav	PROPN	9	conj
21	-	PUNCT	22	punct
22	Brno	PROPN	20	conj
23	-	PUNCT	24	punct
24	Praha	PROPN	20	conj
25	(	PUNCT	20	punct
26	odjezd	NOUN	20	dep
27	ve	ADP	28	case
28	14.40	NUM	26	nummod
29	hod	NOUN	28	nmod
30	.	PUNCT	29	punct
31	)	PUNCT	20	punct
32	.	PUNCT	5	punct