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:
Jeden ze psů - Garry-El-Baraki Radjan, familiérně Bobeš, měl před dvěma lety třetí nejlepší čas na světě, v roce 1988 byl světovým rekordmanem.
Postion	Tokenization
1	Jeden
2	ze
3	psů
4	-
5	Garry
6	-
7	El
8	-
9	Baraki
10	Radjan
11	,
12	familiérně
13	Bobeš
14	,
15	měl
16	před
17	dvěma
18	lety
19	třetí
20	nejlepší
21	čas
22	na
23	světě
24	,
25	v
26	roce
27	1988
28	byl
29	světovým
30	rekordmanem
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Jeden	NUM	15	nsubj
2	ze	ADP	3	case
3	psů	NOUN	1	nmod
4	-	PUNCT	5	punct
5	Garry	PROPN	1	appos
6	-	PUNCT	5	punct
7	El	ADJ	5	amod
8	-	PUNCT	5	punct
9	Baraki	PROPN	5	flat
10	Radjan	PROPN	9	flat
11	,	PUNCT	13	punct
12	familiérně	ADV	13	dep
13	Bobeš	PROPN	5	flat
14	,	PUNCT	5	punct
15	měl	VERB	0	root
16	před	ADP	18	case
17	dvěma	NUM	18	nummod
18	lety	NOUN	15	obl
19	třetí	ADJ	21	amod
20	nejlepší	ADJ	21	amod
21	čas	NOUN	15	obj
22	na	ADP	23	case
23	světě	NOUN	21	nmod
24	,	PUNCT	30	punct
25	v	ADP	26	case
26	roce	NOUN	30	obl
27	1988	NUM	26	nummod
28	byl	AUX	30	cop
29	světovým	ADJ	30	amod
30	rekordmanem	NOUN	15	conj
31	.	PUNCT	15	punct