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 vítěz tohoto prestižního grandslamového turnaje Stefan Edberg ze Švédska (5) vyřadil svého krajana Larse Jonssona 7:5, 6:1, 6:1.
Postion	Tokenization
1	Bývalý
2	vítěz
3	tohoto
4	prestižního
5	grandslamového
6	turnaje
7	Stefan
8	Edberg
9	ze
10	Švédska
11	(
12	5
13	)
14	vyřadil
15	svého
16	krajana
17	Larse
18	Jonssona
19	7
20	:
21	5
22	,
23	6
24	:
25	1
26	,
27	6
28	:
29	1
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Bývalý	ADJ	2	amod
2	vítěz	NOUN	14	nsubj
3	tohoto	DET	6	det
4	prestižního	ADJ	6	amod
5	grandslamového	ADJ	6	amod
6	turnaje	NOUN	2	nmod
7	Stefan	PROPN	2	flat
8	Edberg	PROPN	2	flat
9	ze	ADP	10	case
10	Švédska	PROPN	2	nmod
11	(	PUNCT	2	punct
12	5	NUM	2	dep
13	)	PUNCT	2	punct
14	vyřadil	VERB	0	root
15	svého	DET	16	det
16	krajana	NOUN	14	obj
17	Larse	PROPN	16	flat
18	Jonssona	PROPN	16	flat
19	7	NUM	14	obl
20	:	PUNCT	21	punct
21	5	NUM	19	conj
22	,	PUNCT	23	punct
23	6	NUM	19	conj
24	:	PUNCT	25	punct
25	1	NUM	23	conj
26	,	PUNCT	27	punct
27	6	NUM	19	conj
28	:	PUNCT	29	punct
29	1	NUM	27	conj
30	.	PUNCT	14	punct