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 tokenized text:
Ve finálovém běhu na 60 metrů při mezistátním utkání ve Vídni zaklekli vedle sebe Angličan Lindford Christie, mistr světa a Evropy z letní stometrové trati, a český rekordman Jiří Valík z Olympu Praha.
Postion	Tokenization
1	Ve
2	finálovém
3	běhu
4	na
5	60
6	metrů
7	při
8	mezistátním
9	utkání
10	ve
11	Vídni
12	zaklekli
13	vedle
14	sebe
15	Angličan
16	Lindford
17	Christie
18	,
19	mistr
20	světa
21	a
22	Evropy
23	z
24	letní
25	stometrové
26	trati
27	,
28	a
29	český
30	rekordman
31	Jiří
32	Valík
33	z
34	Olympu
35	Praha
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Ve	ADP	3	case
2	finálovém	ADJ	3	amod
3	běhu	NOUN	12	obl
4	na	ADP	6	case
5	60	NUM	6	nummod:gov
6	metrů	NOUN	3	nmod
7	při	ADP	9	case
8	mezistátním	ADJ	9	amod
9	utkání	NOUN	12	obl
10	ve	ADP	11	case
11	Vídni	PROPN	9	nmod
12	zaklekli	VERB	0	root
13	vedle	ADP	14	case
14	sebe	PRON	12	obl
15	Angličan	PROPN	12	nsubj
16	Lindford	PROPN	15	flat
17	Christie	PROPN	15	flat
18	,	PUNCT	19	punct
19	mistr	NOUN	15	appos
20	světa	NOUN	19	nmod
21	a	CCONJ	22	cc
22	Evropy	PROPN	20	conj
23	z	ADP	26	case
24	letní	ADJ	26	amod
25	stometrové	ADJ	26	amod
26	trati	NOUN	19	nmod
27	,	PUNCT	19	punct
28	a	CCONJ	30	cc
29	český	ADJ	30	amod
30	rekordman	NOUN	15	conj
31	Jiří	PROPN	30	flat
32	Valík	PROPN	30	flat
33	z	ADP	34	case
34	Olympu	PROPN	30	nmod
35	Praha	PROPN	34	nmod
36	.	PUNCT	12	punct