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:
Bývalý světový rekordman, který ukončil svoji kariéru před šesti lety pro zranění zad, je dnes po operaci znovu v pořádku a cítí se fit jako před lety.
Postion	Tokenization
1	Bývalý
2	světový
3	rekordman
4	,
5	který
6	ukončil
7	svoji
8	kariéru
9	před
10	šesti
11	lety
12	pro
13	zranění
14	zad
15	,
16	je
17	dnes
18	po
19	operaci
20	znovu
21	v
22	pořádku
23	a
24	cítí
25	se
26	fit
27	jako
28	před
29	lety
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Bývalý	ADJ	3	amod
2	světový	ADJ	3	amod
3	rekordman	NOUN	16	nsubj
4	,	PUNCT	6	punct
5	který	DET	6	nsubj
6	ukončil	VERB	3	acl:relcl
7	svoji	DET	8	det
8	kariéru	NOUN	6	obj
9	před	ADP	11	case
10	šesti	NUM	11	nummod
11	lety	NOUN	6	obl
12	pro	ADP	13	case
13	zranění	NOUN	6	obl
14	zad	NOUN	13	nmod
15	,	PUNCT	6	punct
16	je	VERB	0	root
17	dnes	ADV	16	advmod
18	po	ADP	19	case
19	operaci	NOUN	16	obl
20	znovu	ADV	16	advmod
21	v	ADP	22	case
22	pořádku	NOUN	16	obl
23	a	CCONJ	24	cc
24	cítí	VERB	16	conj
25	se	PRON	24	expl:pv
26	fit	ADJ	24	obl
27	jako	SCONJ	29	mark
28	před	ADP	29	case
29	lety	NOUN	24	dep
30	.	PUNCT	16	punct