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 text: Do Prahy hlavního nádraží bude 7. 9. například vypraven mimořádný rychlík z Českých Budějovic (odjezd 15.18), který zastaví v Hluboké nad Vltavou- Zámostí, Veselí nad Lužnicí, Soběslavi, Táboře, Olbramovicích a Benešově u Prahy.
Position	Tokenization	UPOS	Head	Deprel
1	Do	ADP	2	case
2	Prahy	PROPN	11	obl
3	hlavního	ADJ	4	amod
4	nádraží	NOUN	2	nmod
5	bude	AUX	11	aux:pass
6	7	NUM	8	compound
7	.	PUNCT	6	punct
8	9	NUM	11	obl
9	.	PUNCT	8	punct
10	například	ADV	11	cc
11	vypraven	ADJ	0	root
12	mimořádný	ADJ	13	amod
13	rychlík	NOUN	11	nsubj:pass
14	z	ADP	16	case
15	Českých	ADJ	16	amod
16	Budějovic	PROPN	13	nmod
17	(	PUNCT	11	punct
18	odjezd	NOUN	11	dep
19	15.18	NUM	11	dep
20	)	PUNCT	11	punct
21	,	PUNCT	23	punct
22	který	DET	23	nsubj
23	zastaví	VERB	11	conj
24	v	ADP	25	case
25	Hluboké	PROPN	23	obl
26	nad	ADP	27	case
27	Vltavou	PROPN	25	obl
28	-	PUNCT	29	punct
29	Zámostí	PROPN	25	nmod
30	,	PUNCT	31	punct
31	Veselí	PROPN	25	conj
32	nad	ADP	33	case
33	Lužnicí	PROPN	31	nmod
34	,	PUNCT	35	punct
35	Soběslavi	PROPN	25	conj
36	,	PUNCT	37	punct
37	Táboře	PROPN	25	conj
38	,	PUNCT	39	punct
39	Olbramovicích	PROPN	25	conj
40	a	CCONJ	41	cc
41	Benešově	PROPN	25	conj
42	u	ADP	43	case
43	Prahy	PROPN	41	nmod
44	.	PUNCT	11	punct