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:
Mezi posledními šestnácti tenistkami je ve Flushing Meadows i sedmá nasazená Jana Novotná, která s Kanaďankou Hyovou (51. hráčka WTA) nedělala žádné cavyky- 6: 1, 6: 2.
Postion	Tokenization
1	Mezi
2	posledními
3	šestnácti
4	tenistkami
5	je
6	ve
7	Flushing
8	Meadows
9	i
10	sedmá
11	nasazená
12	Jana
13	Novotná
14	,
15	která
16	s
17	Kanaďankou
18	Hyovou
19	(
20	51
21	.
22	hráčka
23	WTA
24	)
25	nedělala
26	žádné
27	cavyky
28	-
29	6
30	:
31	1
32	,
33	6
34	:
35	2
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Mezi	ADP	4	case
2	posledními	ADJ	4	amod
3	šestnácti	NUM	4	nummod
4	tenistkami	NOUN	5	obl
5	je	VERB	0	root
6	ve	ADP	7	case
7	Flushing	ADJ	5	obl
8	Meadows	PROPN	7	flat:foreign
9	i	CCONJ	12	advmod:emph
10	sedmá	ADJ	12	xcomp
11	nasazená	ADJ	12	amod
12	Jana	PROPN	5	nsubj
13	Novotná	PROPN	12	flat
14	,	PUNCT	25	punct
15	která	DET	25	nsubj
16	s	ADP	17	case
17	Kanaďankou	PROPN	25	obl:arg
18	Hyovou	PROPN	17	flat
19	(	PUNCT	17	punct
20	51	NUM	22	nummod
21	.	PUNCT	20	punct
22	hráčka	NOUN	17	dep
23	WTA	PROPN	22	nmod
24	)	PUNCT	17	punct
25	nedělala	VERB	12	acl:relcl
26	žádné	DET	27	det
27	cavyky	NOUN	25	obj
28	-	PUNCT	29	punct
29	6	NUM	25	dep
30	:	PUNCT	31	punct
31	1	NUM	29	conj
32	,	PUNCT	33	punct
33	6	NUM	29	conj
34	:	PUNCT	35	punct
35	2	NUM	33	conj
36	.	PUNCT	5	punct