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:
Martina Hingisová převzala ve své adoptivní zemi tenisovou štafetu po Hlaskovi a Rossetovi, v loňské anketě o nejlepšího sportovce helvétského kříže skončila druhá za lyžařkou Vreni Schneiderovou.
Postion	Tokenization
1	Martina
2	Hingisová
3	převzala
4	ve
5	své
6	adoptivní
7	zemi
8	tenisovou
9	štafetu
10	po
11	Hlaskovi
12	a
13	Rossetovi
14	,
15	v
16	loňské
17	anketě
18	o
19	nejlepšího
20	sportovce
21	helvétského
22	kříže
23	skončila
24	druhá
25	za
26	lyžařkou
27	Vreni
28	Schneiderovou
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Martina	PROPN	3	nsubj
2	Hingisová	PROPN	1	flat
3	převzala	VERB	0	root
4	ve	ADP	7	case
5	své	DET	7	det
6	adoptivní	ADJ	7	amod
7	zemi	NOUN	3	obl
8	tenisovou	ADJ	9	amod
9	štafetu	NOUN	3	obj
10	po	ADP	11	case
11	Hlaskovi	PROPN	3	obl
12	a	CCONJ	13	cc
13	Rossetovi	PROPN	11	conj
14	,	PUNCT	23	punct
15	v	ADP	17	case
16	loňské	ADJ	17	amod
17	anketě	NOUN	23	obl
18	o	ADP	20	case
19	nejlepšího	ADJ	20	amod
20	sportovce	NOUN	17	nmod
21	helvétského	ADJ	22	amod
22	kříže	NOUN	20	nmod
23	skončila	VERB	3	conj
24	druhá	ADJ	23	xcomp
25	za	ADP	26	case
26	lyžařkou	NOUN	23	obl
27	Vreni	PROPN	26	flat
28	Schneiderovou	PROPN	26	flat
29	.	PUNCT	3	punct