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:
Podle jednoho z členů vedení Telegrafu iniciativa P. Čermáka na odvolání P. Šafra přímo souvisí s kritickým postojem listu k postupu části ODS v kauze agenti v Chemapolu.
Postion	Tokenization
1	Podle
2	jednoho
3	z
4	členů
5	vedení
6	Telegrafu
7	iniciativa
8	P
9	.
10	Čermáka
11	na
12	odvolání
13	P
14	.
15	Šafra
16	přímo
17	souvisí
18	s
19	kritickým
20	postojem
21	listu
22	k
23	postupu
24	části
25	ODS
26	v
27	kauze
28	agenti
29	v
30	Chemapolu
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	2	case
2	jednoho	NUM	17	obl
3	z	ADP	4	case
4	členů	NOUN	2	nmod
5	vedení	NOUN	4	nmod
6	Telegrafu	PROPN	5	nmod
7	iniciativa	NOUN	17	nsubj
8	P	PROPN	7	nmod
9	.	PUNCT	8	punct
10	Čermáka	PROPN	8	flat
11	na	ADP	12	case
12	odvolání	NOUN	7	nmod
13	P	PROPN	12	nmod
14	.	PUNCT	13	punct
15	Šafra	PROPN	13	flat
16	přímo	ADV	17	advmod
17	souvisí	VERB	0	root
18	s	ADP	20	case
19	kritickým	ADJ	20	amod
20	postojem	NOUN	17	obl:arg
21	listu	NOUN	20	nmod
22	k	ADP	23	case
23	postupu	NOUN	20	nmod
24	části	NOUN	23	nmod
25	ODS	PROPN	24	nmod
26	v	ADP	27	case
27	kauze	NOUN	23	nmod
28	agenti	NOUN	27	nmod
29	v	ADP	30	case
30	Chemapolu	PROPN	28	nmod
31	.	PUNCT	17	punct