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: Společnost Stora, která je největší svého druhu v Evropě, zaznamenala podle neoficiálních výsledků loni zisk, zatímco ještě v roce 1992 vykázala ztrátu 1.36 mld. švédských korun (SEK).
Position	Tokenization	UPOS	Head	Deprel
1	Společnost	NOUN	12	nsubj
2	Stora	PROPN	1	nmod
3	,	PUNCT	6	punct
4	která	DET	6	nsubj
5	je	AUX	6	cop
6	největší	ADJ	1	acl:relcl
7	svého	DET	8	det
8	druhu	NOUN	6	obl
9	v	ADP	10	case
10	Evropě	PROPN	6	obl
11	,	PUNCT	6	punct
12	zaznamenala	VERB	0	root
13	podle	ADP	15	case
14	neoficiálních	ADJ	15	amod
15	výsledků	NOUN	12	obl
16	loni	ADV	12	advmod
17	zisk	NOUN	12	obj
18	,	PUNCT	24	punct
19	zatímco	SCONJ	24	mark
20	ještě	ADV	22	advmod:emph
21	v	ADP	22	case
22	roce	NOUN	24	obl
23	1992	NUM	22	nummod
24	vykázala	VERB	12	advcl
25	ztrátu	NOUN	24	obj
26	1.36	NUM	25	nummod
27	mld	NOUN	26	nmod
28	.	PUNCT	27	punct
29	švédských	ADJ	30	amod
30	korun	NOUN	27	nmod
31	(	PUNCT	32	punct
32	SEK	NOUN	30	appos
33	)	PUNCT	32	punct
34	.	PUNCT	12	punct