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:
Našel řešení, jímž se dá spasit celý svět, ale když ztratí třeba jen knoflík od košile, zbuntuje celou armádu žen, aby ten knoflík přišily.
Postion	Tokenization
1	Našel
2	řešení
3	,
4	jímž
5	se
6	dá
7	spasit
8	celý
9	svět
10	,
11	ale
12	když
13	ztratí
14	třeba
15	jen
16	knoflík
17	od
18	košile
19	,
20	zbuntuje
21	celou
22	armádu
23	žen
24	,
25	aby
26	aby
27	by
28	ten
29	knoflík
30	přišily
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Našel	VERB	0	root
2	řešení	NOUN	1	obj
3	,	PUNCT	6	punct
4	jímž	PRON	7	obl
5	se	PRON	6	expl:pass
6	dá	VERB	2	acl:relcl
7	spasit	VERB	6	xcomp
8	celý	ADJ	9	amod
9	svět	NOUN	7	obj
10	,	PUNCT	20	punct
11	ale	CCONJ	20	cc
12	když	SCONJ	13	mark
13	ztratí	VERB	20	advcl
14	třeba	ADV	16	advmod:emph
15	jen	PART	16	advmod:emph
16	knoflík	NOUN	13	obj
17	od	ADP	18	case
18	košile	NOUN	16	nmod
19	,	PUNCT	13	punct
20	zbuntuje	VERB	1	conj
21	celou	ADJ	22	amod
22	armádu	NOUN	20	obj
23	žen	NOUN	22	nmod
24	,	PUNCT	29	punct
25	aby	_	None	_
26	aby	SCONJ	29	mark
27	by	AUX	29	aux
28	ten	DET	28	det
29	knoflík	NOUN	29	obj
30	přišily	VERB	20	advcl
31	.	PUNCT	1	punct