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: Olympijský vítěz v běhu na 100 m Linford Christie prohlásil v Belfastu, že je připraven se utkat s držitelem světového rekordu na této trati Carlem Lewisem v přímém souboji 19. září v Tokiu.
Position	Tokenization	UPOS	Head	Deprel
1	Olympijský	ADJ	2	amod
2	vítěz	NOUN	10	nsubj
3	v	ADP	4	case
4	běhu	NOUN	2	nmod
5	na	ADP	6	case
6	100	NUM	4	nummod
7	m	NOUN	6	nmod
8	Linford	PROPN	2	flat
9	Christie	PROPN	2	flat
10	prohlásil	VERB	0	root
11	v	ADP	12	case
12	Belfastu	PROPN	10	obl
13	,	PUNCT	16	punct
14	že	SCONJ	16	mark
15	je	AUX	16	cop
16	připraven	ADJ	10	ccomp
17	se	PRON	18	expl:pv
18	utkat	VERB	16	xcomp
19	s	ADP	20	case
20	držitelem	NOUN	18	obl:arg
21	světového	ADJ	22	amod
22	rekordu	NOUN	20	nmod
23	na	ADP	25	case
24	této	DET	25	det
25	trati	NOUN	22	nmod
26	Carlem	PROPN	20	flat
27	Lewisem	PROPN	20	flat
28	v	ADP	30	case
29	přímém	ADJ	30	amod
30	souboji	NOUN	18	obl
31	19	NUM	33	nummod
32	.	PUNCT	31	punct
33	září	NOUN	18	obl
34	v	ADP	35	case
35	Tokiu	PROPN	18	obl
36	.	PUNCT	10	punct