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:
Naděje Talibanu, že "až bude mír, založíme po celé zemi madrásy (náboženské školy) a vrátíme se ke knihám", zatím zůstává nenaplněna.
Postion	Tokenization
1	Naděje
2	Talibanu
3	,
4	že
5	"
6	až
7	bude
8	mír
9	,
10	založíme
11	po
12	celé
13	zemi
14	madrásy
15	(
16	náboženské
17	školy
18	)
19	a
20	vrátíme
21	se
22	ke
23	knihám
24	"
25	,
26	zatím
27	zůstává
28	nenaplněna
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Naděje	NOUN	27	nsubj
2	Talibanu	PROPN	1	nmod
3	,	PUNCT	10	punct
4	že	SCONJ	10	mark
5	"	PUNCT	10	punct
6	až	SCONJ	7	mark
7	bude	VERB	10	advcl
8	mír	NOUN	7	nsubj
9	,	PUNCT	7	punct
10	založíme	VERB	1	acl
11	po	ADP	13	case
12	celé	ADJ	13	amod
13	zemi	NOUN	10	obl
14	madrásy	NOUN	10	obj
15	(	PUNCT	17	punct
16	náboženské	ADJ	17	amod
17	školy	NOUN	14	appos
18	)	PUNCT	17	punct
19	a	CCONJ	20	cc
20	vrátíme	VERB	10	conj
21	se	PRON	20	expl:pv
22	ke	ADP	23	case
23	knihám	NOUN	20	obl
24	"	PUNCT	10	punct
25	,	PUNCT	10	punct
26	zatím	ADV	27	advmod
27	zůstává	VERB	0	root
28	nenaplněna	ADJ	27	obj
29	.	PUNCT	27	punct