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:
žebříček WTA: 1. Selešová, 2. Grafová, 3. Sabatiniová, 4. Navrátilová, 5. Sanchezová, 6. Capriatiová, 7. M. J. Fernandezová... 11. Novotná, 13. Suková.
Postion	Tokenization
1	žebříček
2	WTA
3	:
4	1
5	.
6	Selešová
7	,
8	2
9	.
10	Grafová
11	,
12	3
13	.
14	Sabatiniová
15	,
16	4
17	.
18	Navrátilová
19	,
20	5
21	.
22	Sanchezová
23	,
24	6
25	.
26	Capriatiová
27	,
28	7
29	.
30	M
31	.
32	J
33	.
34	Fernandezová
35	.
36	.
37	.
38	11
39	.
40	Novotná
41	,
42	13
43	.
44	Suková
45	.
Position	Tokenization	UPOS	Head	Deprel
1	žebříček	NOUN	0	root
2	WTA	PROPN	1	nmod
3	:	PUNCT	6	punct
4	1	NUM	6	nummod
5	.	PUNCT	4	punct
6	Selešová	PROPN	1	appos
7	,	PUNCT	10	punct
8	2	NUM	10	nummod
9	.	PUNCT	8	punct
10	Grafová	PROPN	6	conj
11	,	PUNCT	14	punct
12	3	NUM	14	nummod
13	.	PUNCT	12	punct
14	Sabatiniová	PROPN	6	conj
15	,	PUNCT	18	punct
16	4	NUM	18	nummod
17	.	PUNCT	16	punct
18	Navrátilová	PROPN	6	conj
19	,	PUNCT	22	punct
20	5	NUM	22	nummod
21	.	PUNCT	20	punct
22	Sanchezová	PROPN	6	conj
23	,	PUNCT	26	punct
24	6	NUM	26	nummod
25	.	PUNCT	24	punct
26	Capriatiová	PROPN	6	conj
27	,	PUNCT	30	punct
28	7	NUM	30	nummod
29	.	PUNCT	28	punct
30	M	PROPN	6	conj
31	.	PUNCT	30	punct
32	J	PROPN	30	flat
33	.	PUNCT	32	punct
34	Fernandezová	PROPN	30	flat
35	.	PUNCT	40	punct
36	.	PUNCT	40	punct
37	.	PUNCT	40	punct
38	11	NUM	40	nummod
39	.	PUNCT	38	punct
40	Novotná	PROPN	6	conj
41	,	PUNCT	44	punct
42	13	NUM	44	nmod
43	.	PUNCT	42	punct
44	Suková	PROPN	6	conj
45	.	PUNCT	1	punct