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:
Válečných reportérek máme opravdu málo - asi dvě - a já se chtěla dozvědět, proč to proboha všechno dělá, jestli má strach a jak v té divočině vydrží bez koupelny.
Postion	Tokenization
1	Válečných
2	reportérek
3	máme
4	opravdu
5	málo
6	-
7	asi
8	dvě
9	-
10	a
11	já
12	se
13	chtěla
14	dozvědět
15	,
16	proč
17	to
18	proboha
19	všechno
20	dělá
21	,
22	jestli
23	má
24	strach
25	a
26	jak
27	v
28	té
29	divočině
30	vydrží
31	bez
32	koupelny
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Válečných	ADJ	2	amod
2	reportérek	NOUN	3	obj
3	máme	VERB	0	root
4	opravdu	ADV	3	advmod
5	málo	DET	2	det:numgov
6	-	PUNCT	8	punct
7	asi	PART	8	advmod:emph
8	dvě	NUM	5	appos
9	-	PUNCT	8	punct
10	a	CCONJ	13	cc
11	já	PRON	13	nsubj
12	se	PRON	14	expl:pv
13	chtěla	VERB	3	conj
14	dozvědět	VERB	13	xcomp
15	,	PUNCT	20	punct
16	proč	ADV	20	advmod
17	to	DET	20	obj
18	proboha	INTJ	20	discourse
19	všechno	DET	20	obl
20	dělá	VERB	14	ccomp
21	,	PUNCT	23	punct
22	jestli	SCONJ	23	mark
23	má	VERB	20	conj
24	strach	NOUN	23	obj
25	a	CCONJ	30	cc
26	jak	ADV	30	advmod
27	v	ADP	29	case
28	té	DET	29	det
29	divočině	NOUN	30	obl
30	vydrží	VERB	23	conj
31	bez	ADP	32	case
32	koupelny	NOUN	30	obl
33	.	PUNCT	3	punct