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:
Marie Wojciková, Radio Metropolis: Do značné míry chápeme jak technická omezení, tak i tendence administrativně napomoci pozitivnímu vývoji tam, kde trh ještě nefunguje zcela uspokojivě.
Postion	Tokenization
1	Marie
2	Wojciková
3	,
4	Radio
5	Metropolis
6	:
7	Do
8	značné
9	míry
10	chápeme
11	jak
12	technická
13	omezení
14	,
15	tak
16	i
17	tendence
18	administrativně
19	napomoci
20	pozitivnímu
21	vývoji
22	tam
23	,
24	kde
25	trh
26	ještě
27	nefunguje
28	zcela
29	uspokojivě
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Marie	PROPN	0	root
2	Wojciková	PROPN	1	flat
3	,	PUNCT	1	punct
4	Radio	NOUN	1	dep
5	Metropolis	PROPN	4	nmod
6	:	PUNCT	1	punct
7	Do	ADP	9	case
8	značné	ADJ	9	amod
9	míry	NOUN	10	obl
10	chápeme	VERB	1	appos
11	jak	SCONJ	13	cc
12	technická	ADJ	13	amod
13	omezení	NOUN	10	obj
14	,	PUNCT	17	punct
15	tak	CCONJ	17	cc
16	i	CCONJ	17	advmod:emph
17	tendence	NOUN	13	conj
18	administrativně	ADV	19	advmod
19	napomoci	VERB	17	acl
20	pozitivnímu	ADJ	21	amod
21	vývoji	NOUN	19	obl:arg
22	tam	ADV	19	advmod
23	,	PUNCT	27	punct
24	kde	ADV	27	advmod
25	trh	NOUN	27	nsubj
26	ještě	ADV	27	advmod
27	nefunguje	VERB	19	advcl
28	zcela	ADV	29	advmod
29	uspokojivě	ADV	27	advmod
30	.	PUNCT	1	punct