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:
Snaha V. Čekana najít původ informací, z nichž předseda FNM v tomto případě vychází, když hovoří o zastavení části majetku bývalého Elektroodbytu, vzbuzuje u R. Češky úsměv.
Postion	Tokenization
1	Snaha
2	V
3	.
4	Čekana
5	najít
6	původ
7	informací
8	,
9	z
10	nichž
11	předseda
12	FNM
13	v
14	tomto
15	případě
16	vychází
17	,
18	když
19	hovoří
20	o
21	zastavení
22	části
23	majetku
24	bývalého
25	Elektroodbytu
26	,
27	vzbuzuje
28	u
29	R
30	.
31	Češky
32	úsměv
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Snaha	NOUN	27	nsubj
2	V	PROPN	1	nmod
3	.	PUNCT	2	punct
4	Čekana	PROPN	2	flat
5	najít	VERB	1	acl
6	původ	NOUN	5	obj
7	informací	NOUN	6	nmod
8	,	PUNCT	16	punct
9	z	ADP	10	case
10	nichž	PRON	16	obl
11	předseda	NOUN	16	nsubj
12	FNM	PROPN	11	nmod
13	v	ADP	15	case
14	tomto	DET	15	det
15	případě	NOUN	16	obl
16	vychází	VERB	7	acl:relcl
17	,	PUNCT	19	punct
18	když	SCONJ	19	mark
19	hovoří	VERB	16	advcl
20	o	ADP	21	case
21	zastavení	NOUN	19	obl:arg
22	části	NOUN	21	nmod
23	majetku	NOUN	22	nmod
24	bývalého	ADJ	25	amod
25	Elektroodbytu	PROPN	23	nmod
26	,	PUNCT	19	punct
27	vzbuzuje	VERB	0	root
28	u	ADP	29	case
29	R	PROPN	27	obl
30	.	PUNCT	29	punct
31	Češky	PROPN	29	flat
32	úsměv	NOUN	27	obj
33	.	PUNCT	27	punct