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: Dobře si vede i druhá největší skupina těžící dřevo a vyrábějící papír SCA, která očekává za loňský rok zisk ve výši 1.1 miliardy SEK proti 451 milionu SEK před rokem.
Position	Tokenization	UPOS	Head	Deprel
1	Dobře	ADV	3	advmod
2	si	PRON	3	expl:pv
3	vede	VERB	0	root
4	i	CCONJ	7	advmod:emph
5	druhá	ADJ	7	amod
6	největší	ADJ	7	amod
7	skupina	NOUN	3	nsubj
8	těžící	ADJ	7	amod
9	dřevo	NOUN	8	obj
10	a	CCONJ	11	cc
11	vyrábějící	ADJ	8	conj
12	papír	NOUN	11	obj
13	SCA	PROPN	7	nmod
14	,	PUNCT	16	punct
15	která	DET	16	nsubj
16	očekává	VERB	7	acl:relcl
17	za	ADP	19	case
18	loňský	ADJ	19	amod
19	rok	NOUN	16	obl
20	zisk	NOUN	16	obj
21	ve	ADP	22	case
22	výši	NOUN	20	nmod
23	1.1	NUM	24	nummod:gov
24	miliardy	NOUN	22	nmod
25	SEK	NOUN	24	nmod
26	proti	ADP	28	case
27	451	NUM	28	nummod
28	milionu	NOUN	16	obl
29	SEK	NOUN	28	nmod
30	před	ADP	31	case
31	rokem	NOUN	28	nmod
32	.	PUNCT	3	punct