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: Organizátorům z Gejzírparku se dvě nejvýše nasazené hráčky Suková (13. na žebříčku WTA) s Wiesnerovou (22.) odměnily kvalitními výkony a ve finále předvedly tenis špičkové úrovně.
Position	Tokenization	UPOS	Head	Deprel
1	Organizátorům	NOUN	23	obl:arg
2	z	ADP	3	case
3	Gejzírparku	NOUN	1	nmod
4	se	PRON	23	expl:pv
5	dvě	NUM	8	nummod
6	nejvýše	ADV	7	advmod
7	nasazené	ADJ	8	amod
8	hráčky	NOUN	23	nsubj
9	Suková	PROPN	8	nmod
10	(	PUNCT	9	punct
11	13	NUM	9	nummod
12	.	PUNCT	11	punct
13	na	ADP	14	case
14	žebříčku	NOUN	11	nmod
15	WTA	PROPN	14	nmod
16	)	PUNCT	9	punct
17	s	ADP	18	case
18	Wiesnerovou	PROPN	9	nmod
19	(	PUNCT	18	punct
20	22	NUM	18	nummod
21	.	PUNCT	20	punct
22	)	PUNCT	18	punct
23	odměnily	VERB	0	root
24	kvalitními	ADJ	25	amod
25	výkony	NOUN	23	obl
26	a	CCONJ	29	cc
27	ve	ADP	28	case
28	finále	NOUN	29	obl
29	předvedly	VERB	23	conj
30	tenis	NOUN	29	obj
31	špičkové	ADJ	32	amod
32	úrovně	NOUN	30	nmod
33	.	PUNCT	23	punct