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 text: Vítkovice proti vojákům naopak nabraly sebevědomí, které dnes proti Kladnu budou moc potřebovat: "Zbavili jsme se psychické zátěže z Košic, kde jsme prohráli kvalitní utkání," tvrdí vítkovický asistent Neuwirth.
Position	Tokenization	UPOS	Head	Deprel
1	Vítkovice	PROPN	5	nsubj
2	proti	ADP	3	case
3	vojákům	NOUN	5	obl
4	naopak	ADV	5	advmod
5	nabraly	VERB	0	root
6	sebevědomí	NOUN	5	obj
7	,	PUNCT	14	punct
8	které	DET	14	obj
9	dnes	ADV	14	advmod
10	proti	ADP	11	case
11	Kladnu	PROPN	14	obl
12	budou	AUX	14	aux
13	moc	ADV	14	advmod
14	potřebovat	VERB	6	acl:relcl
15	:	PUNCT	32	punct
16	"	PUNCT	17	punct
17	Zbavili	VERB	32	ccomp
18	jsme	AUX	17	aux
19	se	PRON	17	expl:pv
20	psychické	ADJ	21	amod
21	zátěže	NOUN	17	obl:arg
22	z	ADP	23	case
23	Košic	PROPN	21	nmod
24	,	PUNCT	27	punct
25	kde	ADV	27	advmod
26	jsme	AUX	27	aux
27	prohráli	VERB	23	acl:relcl
28	kvalitní	ADJ	29	amod
29	utkání	NOUN	27	obj
30	,	PUNCT	17	punct
31	"	PUNCT	17	punct
32	tvrdí	VERB	5	appos
33	vítkovický	ADJ	34	amod
34	asistent	NOUN	32	nsubj
35	Neuwirth	PROPN	34	flat
36	.	PUNCT	5	punct