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:
Překážkářka Patoulidouová, která jako první žena od roku 1912 vyhrála v Barceloně pro Řecko zlatou olympijskou medaili, oznámila v Aténách novinářům, že se napříště hodlá věnovat skoku dalekému.
Postion	Tokenization
1	Překážkářka
2	Patoulidouová
3	,
4	která
5	jako
6	první
7	žena
8	od
9	roku
10	1912
11	vyhrála
12	v
13	Barceloně
14	pro
15	Řecko
16	zlatou
17	olympijskou
18	medaili
19	,
20	oznámila
21	v
22	Aténách
23	novinářům
24	,
25	že
26	se
27	napříště
28	hodlá
29	věnovat
30	skoku
31	dalekému
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Překážkářka	NOUN	20	nsubj
2	Patoulidouová	PROPN	1	flat
3	,	PUNCT	4	punct
4	která	DET	11	nsubj
5	jako	SCONJ	7	mark
6	první	ADJ	7	amod
7	žena	NOUN	1	xcomp
8	od	ADP	9	case
9	roku	NOUN	6	obl
10	1912	NUM	9	nummod
11	vyhrála	VERB	1	acl:relcl
12	v	ADP	13	case
13	Barceloně	PROPN	11	obl
14	pro	ADP	15	case
15	Řecko	PROPN	11	obl
16	zlatou	ADJ	18	amod
17	olympijskou	ADJ	18	amod
18	medaili	NOUN	11	obj
19	,	PUNCT	11	punct
20	oznámila	VERB	0	root
21	v	ADP	22	case
22	Aténách	PROPN	20	obl
23	novinářům	NOUN	20	obl:arg
24	,	PUNCT	28	punct
25	že	SCONJ	28	mark
26	se	PRON	29	expl:pv
27	napříště	ADV	29	advmod
28	hodlá	VERB	20	ccomp
29	věnovat	VERB	28	xcomp
30	skoku	NOUN	29	obl:arg
31	dalekému	ADJ	30	amod
32	.	PUNCT	20	punct