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:
Z Léotardova postoje vyplynulo, že podle jeho názoru "by si měla Francie zachovat úplnou nezávislost v rozhodování, jak to ostatně dělala celých 35 let".
Postion	Tokenization
1	Z
2	Léotardova
3	postoje
4	vyplynulo
5	,
6	že
7	podle
8	jeho
9	názoru
10	"
11	by
12	si
13	měla
14	Francie
15	zachovat
16	úplnou
17	nezávislost
18	v
19	rozhodování
20	,
21	jak
22	to
23	ostatně
24	dělala
25	celých
26	35
27	let
28	"
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Z	ADP	3	case
2	Léotardova	ADJ	3	amod
3	postoje	NOUN	4	obl
4	vyplynulo	VERB	0	root
5	,	PUNCT	13	punct
6	že	SCONJ	13	mark
7	podle	ADP	9	case
8	jeho	DET	9	det
9	názoru	NOUN	13	obl
10	"	PUNCT	13	punct
11	by	AUX	13	aux
12	si	PRON	15	obl
13	měla	VERB	4	csubj
14	Francie	PROPN	13	nsubj
15	zachovat	VERB	13	xcomp
16	úplnou	ADJ	17	amod
17	nezávislost	NOUN	15	obj
18	v	ADP	19	case
19	rozhodování	NOUN	17	nmod
20	,	PUNCT	24	punct
21	jak	ADV	24	advmod
22	to	DET	24	obj
23	ostatně	ADV	24	advmod
24	dělala	VERB	15	advcl
25	celých	ADJ	26	amod
26	35	NUM	27	nummod:gov
27	let	NOUN	24	obl
28	"	PUNCT	13	punct
29	.	PUNCT	4	punct