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 jeho slov také zatím soud nerozhodl, jak bude vyřešen spor mezi FNM a V. Čekanem o platbu firmy Elektroodbyt, kterou získal Čekan ve veřejné soutěži.
Postion	Tokenization
1	Podle
2	jeho
3	slov
4	také
5	zatím
6	soud
7	nerozhodl
8	,
9	jak
10	bude
11	vyřešen
12	spor
13	mezi
14	FNM
15	a
16	V
17	.
18	Čekanem
19	o
20	platbu
21	firmy
22	Elektroodbyt
23	,
24	kterou
25	získal
26	Čekan
27	ve
28	veřejné
29	soutěži
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	3	case
2	jeho	DET	3	det
3	slov	NOUN	7	obl
4	také	ADV	7	advmod
5	zatím	ADV	7	advmod
6	soud	NOUN	7	nsubj
7	nerozhodl	VERB	0	root
8	,	PUNCT	11	punct
9	jak	ADV	11	advmod
10	bude	AUX	11	aux:pass
11	vyřešen	ADJ	7	obj
12	spor	NOUN	11	nsubj:pass
13	mezi	ADP	14	case
14	FNM	PROPN	12	nmod
15	a	CCONJ	16	cc
16	V	PROPN	14	conj
17	.	PUNCT	16	punct
18	Čekanem	PROPN	16	flat
19	o	ADP	20	case
20	platbu	NOUN	12	nmod
21	firmy	NOUN	20	nmod
22	Elektroodbyt	PROPN	21	nmod
23	,	PUNCT	25	punct
24	kterou	DET	25	obj
25	získal	VERB	21	acl:relcl
26	Čekan	PROPN	25	nsubj
27	ve	ADP	29	case
28	veřejné	ADJ	29	amod
29	soutěži	NOUN	25	obl
30	.	PUNCT	7	punct