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: Další posilový rychlík (odjezd v 15.18 hod.) z Českých Budějovic zastavuje v Hluboké nad Vltavou- Zámostí, Veselí nad Lužnicí, Soběslavi, Táboře, Olbramovicích a Benešově u Prahy.
Position	Tokenization	UPOS	Head	Deprel
1	Další	ADJ	3	amod
2	posilový	ADJ	3	amod
3	rychlík	NOUN	14	nsubj
4	(	PUNCT	3	punct
5	odjezd	NOUN	3	dep
6	v	ADP	7	case
7	15.18	NUM	5	nummod
8	hod	NOUN	7	nmod
9	.	PUNCT	8	punct
10	)	PUNCT	3	punct
11	z	ADP	13	case
12	Českých	ADJ	13	amod
13	Budějovic	PROPN	3	nmod
14	zastavuje	VERB	0	root
15	v	ADP	16	case
16	Hluboké	PROPN	14	obl
17	nad	ADP	18	case
18	Vltavou	PROPN	16	nmod
19	-	PUNCT	20	punct
20	Zámostí	PROPN	16	nmod
21	,	PUNCT	22	punct
22	Veselí	PROPN	16	conj
23	nad	ADP	24	case
24	Lužnicí	PROPN	22	nmod
25	,	PUNCT	26	punct
26	Soběslavi	PROPN	16	conj
27	,	PUNCT	28	punct
28	Táboře	PROPN	16	conj
29	,	PUNCT	30	punct
30	Olbramovicích	PROPN	16	conj
31	a	CCONJ	32	cc
32	Benešově	PROPN	16	conj
33	u	ADP	34	case
34	Prahy	PROPN	32	nmod
35	.	PUNCT	14	punct