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: Peking je však ještě hrozně daleko - nejprve soutěžní karavanu přivítá Varšava, kde je ve čtvrtek na programu druhý prolog, o den později (a o dalších 1300 km dál) bude etapovým městem Moskva.
Position	Tokenization	UPOS	Head	Deprel
1	Peking	PROPN	2	nsubj
2	je	VERB	0	root
3	však	CCONJ	2	cc
4	ještě	ADV	2	advmod
5	hrozně	ADV	6	advmod
6	daleko	ADV	2	advmod
7	-	PUNCT	11	punct
8	nejprve	ADV	11	advmod
9	soutěžní	ADJ	10	amod
10	karavanu	NOUN	11	obj
11	přivítá	VERB	2	conj
12	Varšava	PROPN	11	nsubj
13	,	PUNCT	15	punct
14	kde	ADV	15	advmod
15	je	VERB	12	acl:relcl
16	ve	ADP	17	case
17	čtvrtek	NOUN	15	obl
18	na	ADP	19	case
19	programu	NOUN	15	obl
20	druhý	ADJ	21	amod
21	prolog	NOUN	15	nsubj
22	,	PUNCT	36	punct
23	o	ADP	24	case
24	den	NOUN	25	obl
25	později	ADV	36	advmod
26	(	PUNCT	32	punct
27	a	CCONJ	32	cc
28	o	ADP	30	case
29	dalších	ADJ	30	amod
30	1300	NUM	32	obl
31	km	NOUN	30	nmod
32	dál	ADV	25	conj
33	)	PUNCT	32	punct
34	bude	AUX	36	cop
35	etapovým	ADJ	36	amod
36	městem	NOUN	11	conj
37	Moskva	PROPN	36	nsubj
38	.	PUNCT	2	punct