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:
Zdůraznil však, že radnice hledá způsob, jak získané prostředky investovat právě do obydlené oblasti kolem Karlova mostu, kde zahraniční štáby narušují klid dosti často.
Postion	Tokenization
1	Zdůraznil
2	však
3	,
4	že
5	radnice
6	hledá
7	způsob
8	,
9	jak
10	získané
11	prostředky
12	investovat
13	právě
14	do
15	obydlené
16	oblasti
17	kolem
18	Karlova
19	mostu
20	,
21	kde
22	zahraniční
23	štáby
24	narušují
25	klid
26	dosti
27	často
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Zdůraznil	VERB	0	root
2	však	CCONJ	1	cc
3	,	PUNCT	6	punct
4	že	SCONJ	6	mark
5	radnice	NOUN	6	nsubj
6	hledá	VERB	1	ccomp
7	způsob	NOUN	6	obj
8	,	PUNCT	12	punct
9	jak	ADV	12	advmod
10	získané	ADJ	11	amod
11	prostředky	NOUN	12	obj
12	investovat	VERB	7	acl
13	právě	ADV	16	advmod:emph
14	do	ADP	16	case
15	obydlené	ADJ	16	amod
16	oblasti	NOUN	12	obl
17	kolem	ADP	19	case
18	Karlova	ADJ	19	amod
19	mostu	NOUN	16	nmod
20	,	PUNCT	24	punct
21	kde	ADV	24	advmod
22	zahraniční	ADJ	23	amod
23	štáby	NOUN	24	nsubj
24	narušují	VERB	16	acl:relcl
25	klid	NOUN	24	obj
26	dosti	ADV	27	advmod
27	často	ADV	24	advmod
28	.	PUNCT	1	punct