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: Z téže stanice bude v 1.41 hod. vypraven zvláštní rychlík do Českých Budějovic, zastavující v Říčanech, Čerčanech, Benešově u Prahy, Olbramovicích, Táboře, Soběslavi, Veselí nad Lužnicí a Hluboké nad Vltavou- Zámostí.
Position	Tokenization	UPOS	Head	Deprel
1	Z	ADP	3	case
2	téže	DET	3	det
3	stanice	NOUN	9	obl
4	bude	AUX	9	aux:pass
5	v	ADP	6	case
6	1.41	NUM	9	obl
7	hod	NOUN	6	nmod
8	.	PUNCT	7	punct
9	vypraven	ADJ	0	root
10	zvláštní	ADJ	11	amod
11	rychlík	NOUN	9	nsubj:pass
12	do	ADP	14	case
13	Českých	ADJ	14	amod
14	Budějovic	PROPN	11	nmod
15	,	PUNCT	16	punct
16	zastavující	ADJ	11	amod
17	v	ADP	18	case
18	Říčanech	PROPN	16	obl
19	,	PUNCT	20	punct
20	Čerčanech	PROPN	18	conj
21	,	PUNCT	22	punct
22	Benešově	PROPN	18	conj
23	u	ADP	24	case
24	Prahy	PROPN	22	nmod
25	,	PUNCT	26	punct
26	Olbramovicích	PROPN	18	conj
27	,	PUNCT	28	punct
28	Táboře	PROPN	18	conj
29	,	PUNCT	30	punct
30	Soběslavi	PROPN	18	conj
31	,	PUNCT	32	punct
32	Veselí	PROPN	18	conj
33	nad	ADP	34	case
34	Lužnicí	PROPN	32	nmod
35	a	CCONJ	36	cc
36	Hluboké	PROPN	18	conj
37	nad	ADP	38	case
38	Vltavou	PROPN	36	nmod
39	-	PUNCT	40	punct
40	Zámostí	PROPN	36	nmod
41	.	PUNCT	9	punct