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:
Připraveny jsou pravidelné týdenní odjezdy z Prahy a Hamburku podle pevného jízdního řádu s dobou přepravy osm dnů po proudu řeky a 11 dnů proti proudu.
Postion	Tokenization
1	Připraveny
2	jsou
3	pravidelné
4	týdenní
5	odjezdy
6	z
7	Prahy
8	a
9	Hamburku
10	podle
11	pevného
12	jízdního
13	řádu
14	s
15	dobou
16	přepravy
17	osm
18	dnů
19	po
20	proudu
21	řeky
22	a
23	11
24	dnů
25	proti
26	proudu
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Připraveny	ADJ	0	root
2	jsou	AUX	1	cop
3	pravidelné	ADJ	5	amod
4	týdenní	ADJ	5	amod
5	odjezdy	NOUN	1	nsubj
6	z	ADP	7	case
7	Prahy	PROPN	5	nmod
8	a	CCONJ	9	cc
9	Hamburku	PROPN	7	conj
10	podle	ADP	13	case
11	pevného	ADJ	13	amod
12	jízdního	ADJ	13	amod
13	řádu	NOUN	5	nmod
14	s	ADP	15	case
15	dobou	NOUN	5	nmod
16	přepravy	NOUN	15	nmod
17	osm	NUM	18	nummod:gov
18	dnů	NOUN	15	nmod
19	po	ADP	20	case
20	proudu	NOUN	18	nmod
21	řeky	NOUN	20	nmod
22	a	CCONJ	24	cc
23	11	NUM	24	nummod:gov
24	dnů	NOUN	18	conj
25	proti	ADP	26	case
26	proudu	NOUN	24	nmod
27	.	PUNCT	1	punct