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:
Eva Urbanová se v oněch pěti číslech pokoušela prosadit především dramatický výraz, čímž si ve vysoko posazených áriích - zejména v jejich závěrečných pasážích - poněkud "zablokovala" svou techniku.
Postion	Tokenization
1	Eva
2	Urbanová
3	se
4	v
5	oněch
6	pěti
7	číslech
8	pokoušela
9	prosadit
10	především
11	dramatický
12	výraz
13	,
14	čímž
15	si
16	ve
17	vysoko
18	posazených
19	áriích
20	-
21	zejména
22	v
23	jejich
24	závěrečných
25	pasážích
26	-
27	poněkud
28	"
29	zablokovala
30	"
31	svou
32	techniku
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Eva	PROPN	8	nsubj
2	Urbanová	PROPN	1	flat
3	se	PRON	8	expl:pv
4	v	ADP	7	case
5	oněch	DET	7	det
6	pěti	NUM	7	nummod
7	číslech	NOUN	8	obl
8	pokoušela	VERB	0	root
9	prosadit	VERB	8	xcomp
10	především	ADV	12	advmod:emph
11	dramatický	ADJ	12	amod
12	výraz	NOUN	9	obj
13	,	PUNCT	29	punct
14	čímž	PRON	29	obl
15	si	PRON	29	obl:arg
16	ve	ADP	19	case
17	vysoko	ADV	18	advmod
18	posazených	ADJ	19	amod
19	áriích	NOUN	29	obl
20	-	PUNCT	25	punct
21	zejména	ADV	25	advmod:emph
22	v	ADP	25	case
23	jejich	DET	25	det
24	závěrečných	ADJ	25	amod
25	pasážích	NOUN	29	obl
26	-	PUNCT	25	punct
27	poněkud	ADV	29	advmod
28	"	PUNCT	29	punct
29	zablokovala	VERB	8	conj
30	"	PUNCT	29	punct
31	svou	DET	32	det
32	techniku	NOUN	29	obj
33	.	PUNCT	8	punct