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:
A obraz Francie - zároveň otevřené a opatrné -, který před nimi vyvstal v souvislosti s evropským referendem, jim v této formulaci zajisté poslouží.
Postion	Tokenization
1	A
2	obraz
3	Francie
4	-
5	zároveň
6	otevřené
7	a
8	opatrné
9	-
10	,
11	který
12	před
13	nimi
14	vyvstal
15	v
16	souvislosti
17	s
18	evropským
19	referendem
20	,
21	jim
22	v
23	této
24	formulaci
25	zajisté
26	poslouží
27	.
Position	Tokenization	UPOS	Head	Deprel
1	A	CCONJ	26	cc
2	obraz	NOUN	26	nsubj
3	Francie	PROPN	2	nmod
4	-	PUNCT	6	punct
5	zároveň	ADV	6	advmod
6	otevřené	ADJ	3	amod
7	a	CCONJ	8	cc
8	opatrné	ADJ	6	conj
9	-	PUNCT	6	punct
10	,	PUNCT	14	punct
11	který	DET	14	nsubj
12	před	ADP	13	case
13	nimi	PRON	14	obl
14	vyvstal	VERB	2	acl:relcl
15	v	ADP	19	case
16	souvislosti	NOUN	15	fixed
17	s	ADP	15	fixed
18	evropským	ADJ	19	amod
19	referendem	NOUN	14	obl
20	,	PUNCT	14	punct
21	jim	PRON	26	obl:arg
22	v	ADP	24	case
23	této	DET	24	det
24	formulaci	NOUN	26	obl
25	zajisté	ADV	26	advmod
26	poslouží	VERB	0	root
27	.	PUNCT	26	punct