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:
"Je fakt dobrá," uznala bývalá světová jednička Steffi Grafová poté, co ve čtvrtfinále halového Paris Open porazila zázračné tenisové dítě Martinu Hingisovou 6:2, 6:3.
Postion	Tokenization
1	"
2	Je
3	fakt
4	dobrá
5	,
6	"
7	uznala
8	bývalá
9	světová
10	jednička
11	Steffi
12	Grafová
13	poté
14	,
15	co
16	ve
17	čtvrtfinále
18	halového
19	Paris
20	Open
21	porazila
22	zázračné
23	tenisové
24	dítě
25	Martinu
26	Hingisovou
27	6
28	:
29	2
30	,
31	6
32	:
33	3
34	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	4	punct
2	Je	AUX	4	cop
3	fakt	NOUN	4	obl
4	dobrá	ADJ	7	ccomp
5	,	PUNCT	4	punct
6	"	PUNCT	4	punct
7	uznala	VERB	0	root
8	bývalá	ADJ	10	amod
9	světová	ADJ	10	amod
10	jednička	NOUN	7	nsubj
11	Steffi	PROPN	10	flat
12	Grafová	PROPN	10	flat
13	poté	ADV	7	advmod
14	,	PUNCT	21	punct
15	co	SCONJ	21	mark
16	ve	ADP	17	case
17	čtvrtfinále	NOUN	21	obl
18	halového	ADJ	19	amod
19	Paris	ADJ	17	nmod
20	Open	PROPN	19	flat:foreign
21	porazila	VERB	7	advcl
22	zázračné	ADJ	24	amod
23	tenisové	ADJ	24	amod
24	dítě	NOUN	25	nmod
25	Martinu	PROPN	21	obj
26	Hingisovou	PROPN	25	flat
27	6	NUM	21	obl
28	:	PUNCT	29	punct
29	2	NUM	27	conj
30	,	PUNCT	31	punct
31	6	NUM	27	conj
32	:	PUNCT	33	punct
33	3	NUM	31	conj
34	.	PUNCT	7	punct