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 text: Prodejem podílu společného podniku Thermo King Frigera (kde Frigeře patřilo zhruba 30 % ze základního jmění v loňském roce firma získala finance na zaplacení úvěrů a části věřitelů a zažehnala tak nebezpečí konkursu.
Position	Tokenization	UPOS	Head	Deprel
1	Prodejem	NOUN	22	obl
2	podílu	NOUN	1	nmod
3	společného	ADJ	4	amod
4	podniku	NOUN	2	nmod
5	Thermo	ADJ	4	nmod
6	King	PROPN	5	flat:foreign
7	Frigera	PROPN	5	nmod
8	(	PUNCT	11	punct
9	kde	ADV	11	advmod
10	Frigeře	PROPN	11	obl:arg
11	patřilo	VERB	4	acl:relcl
12	zhruba	ADV	13	advmod:emph
13	30	NUM	11	nsubj
14	%	SYM	13	nmod
15	ze	ADP	17	case
16	základního	ADJ	17	amod
17	jmění	NOUN	14	nmod
18	v	ADP	20	case
19	loňském	ADJ	20	amod
20	roce	NOUN	22	obl
21	firma	NOUN	22	nsubj
22	získala	VERB	0	root
23	finance	NOUN	22	obj
24	na	ADP	25	case
25	zaplacení	NOUN	23	nmod
26	úvěrů	NOUN	25	nmod
27	a	CCONJ	28	cc
28	části	NOUN	26	conj
29	věřitelů	NOUN	28	nmod
30	a	CCONJ	31	cc
31	zažehnala	VERB	22	conj
32	tak	ADV	31	advmod
33	nebezpečí	NOUN	31	obj
34	konkursu	NOUN	33	nmod
35	.	PUNCT	22	punct