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 finále tenisového turnaje v Paříži (dotace 460000 dolarů) vyhrála Steffi Grafová nad Francouzkou Pierceovou 6:2, 6:2 za 67 minut.
Postion	Tokenization
1	Ve
2	finále
3	tenisového
4	turnaje
5	v
6	Paříži
7	(
8	dotace
9	460000
10	dolarů
11	)
12	vyhrála
13	Steffi
14	Grafová
15	nad
16	Francouzkou
17	Pierceovou
18	6
19	:
20	2
21	,
22	6
23	:
24	2
25	za
26	67
27	minut
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Ve	ADP	2	case
2	finále	NOUN	12	obl
3	tenisového	ADJ	4	amod
4	turnaje	NOUN	2	nmod
5	v	ADP	6	case
6	Paříži	PROPN	4	nmod
7	(	PUNCT	4	punct
8	dotace	NOUN	4	dep
9	460000	NUM	10	nummod:gov
10	dolarů	NOUN	8	nmod
11	)	PUNCT	4	punct
12	vyhrála	VERB	0	root
13	Steffi	PROPN	12	nsubj
14	Grafová	PROPN	13	flat
15	nad	ADP	16	case
16	Francouzkou	PROPN	12	obl:arg
17	Pierceovou	PROPN	16	flat
18	6	NUM	12	obl
19	:	PUNCT	20	punct
20	2	NUM	18	conj
21	,	PUNCT	22	punct
22	6	NUM	18	conj
23	:	PUNCT	24	punct
24	2	NUM	22	conj
25	za	ADP	27	case
26	67	NUM	27	nummod:gov
27	minut	NOUN	12	obl
28	.	PUNCT	12	punct