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:
" To, že Francie oficiálně nereagovala na výsledky prvního kola alžírských parlamentních voleb, obráží její zmatek tváří v tvář islámskému příboji.
Postion	Tokenization
1	"
2	To
3	,
4	že
5	Francie
6	oficiálně
7	nereagovala
8	na
9	výsledky
10	prvního
11	kola
12	alžírských
13	parlamentních
14	voleb
15	,
16	obráží
17	její
18	zmatek
19	tváří
20	v
21	tvář
22	islámskému
23	příboji
24	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	16	punct
2	To	DET	16	nsubj
3	,	PUNCT	7	punct
4	že	SCONJ	7	mark
5	Francie	PROPN	7	nsubj
6	oficiálně	ADV	7	advmod
7	nereagovala	VERB	2	acl
8	na	ADP	9	case
9	výsledky	NOUN	7	obl:arg
10	prvního	ADJ	11	amod
11	kola	NOUN	9	nmod
12	alžírských	ADJ	14	amod
13	parlamentních	ADJ	14	amod
14	voleb	NOUN	11	nmod
15	,	PUNCT	7	punct
16	obráží	VERB	0	root
17	její	DET	18	det
18	zmatek	NOUN	16	obj
19	tváří	NOUN	16	obl
20	v	ADP	21	case
21	tvář	NOUN	16	obl
22	islámskému	ADJ	23	amod
23	příboji	NOUN	16	obl
24	.	PUNCT	16	punct