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:
Francie volila pro Maastricht jen nejtěsnější většinou a její "ano" lze, pokud se chce, přeložit jako "skoro ne".
Postion	Tokenization
1	Francie
2	volila
3	pro
4	Maastricht
5	jen
6	nejtěsnější
7	většinou
8	a
9	její
10	"
11	ano
12	"
13	lze
14	,
15	pokud
16	se
17	chce
18	,
19	přeložit
20	jako
21	"
22	skoro
23	ne
24	"
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Francie	PROPN	2	nsubj
2	volila	VERB	0	root
3	pro	ADP	4	case
4	Maastricht	NOUN	2	obl
5	jen	PART	6	advmod:emph
6	nejtěsnější	ADJ	7	amod
7	většinou	NOUN	2	obl
8	a	CCONJ	13	cc
9	její	DET	11	det
10	"	PUNCT	11	punct
11	ano	PART	19	obj
12	"	PUNCT	11	punct
13	lze	VERB	2	conj
14	,	PUNCT	17	punct
15	pokud	SCONJ	17	mark
16	se	PRON	17	expl:pass
17	chce	VERB	19	advcl
18	,	PUNCT	17	punct
19	přeložit	VERB	13	csubj
20	jako	SCONJ	23	mark
21	"	PUNCT	23	punct
22	skoro	ADV	23	advmod
23	ne	PART	19	advcl
24	"	PUNCT	23	punct
25	.	PUNCT	2	punct