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:
Český tenista tak postoupil do svého třetího grandslamového čtvrtfinále, prvního v New Yorku (předtím na French Open 1987 a 1993) a čeká na něj vítěz zápasu Sampras- Yzaga.
Postion	Tokenization
1	Český
2	tenista
3	tak
4	postoupil
5	do
6	svého
7	třetího
8	grandslamového
9	čtvrtfinále
10	,
11	prvního
12	v
13	New
14	Yorku
15	(
16	předtím
17	na
18	French
19	Open
20	1987
21	a
22	1993
23	)
24	a
25	čeká
26	na
27	něj
28	vítěz
29	zápasu
30	Sampras
31	-
32	Yzaga
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Český	ADJ	2	amod
2	tenista	NOUN	4	nsubj
3	tak	CCONJ	4	advmod
4	postoupil	VERB	0	root
5	do	ADP	9	case
6	svého	DET	9	det
7	třetího	ADJ	9	amod
8	grandslamového	ADJ	9	amod
9	čtvrtfinále	NOUN	4	obl
10	,	PUNCT	11	punct
11	prvního	ADJ	9	amod
12	v	ADP	14	case
13	New	ADJ	14	amod
14	Yorku	PROPN	11	obl
15	(	PUNCT	4	punct
16	předtím	ADV	4	dep
17	na	ADP	18	case
18	French	ADJ	4	dep
19	Open	ADJ	18	flat:foreign
20	1987	NUM	18	nummod
21	a	CCONJ	22	cc
22	1993	NUM	20	conj
23	)	PUNCT	4	punct
24	a	CCONJ	25	cc
25	čeká	VERB	4	conj
26	na	ADP	27	case
27	něj	PRON	25	obl:arg
28	vítěz	NOUN	25	nsubj
29	zápasu	NOUN	28	nmod
30	Sampras	PROPN	29	nmod
31	-	PUNCT	32	punct
32	Yzaga	PROPN	30	conj
33	.	PUNCT	4	punct