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 Hoechst ohlásila nárůst svého čistého zisku za první pololetí o 62 % na 651 milionů DEM a chemický a farmaceutický koncern Bayer zvýšil v tomto období zisk o 25 % na 985 milionů DEM.
Position	Tokenization	UPOS	Head	Deprel
1	Společnost	NOUN	3	nsubj
2	Hoechst	PROPN	1	nmod
3	ohlásila	VERB	0	root
4	nárůst	NOUN	3	obj
5	svého	DET	7	det
6	čistého	ADJ	7	amod
7	zisku	NOUN	4	nmod
8	za	ADP	10	case
9	první	ADJ	10	amod
10	pololetí	NOUN	7	nmod
11	o	ADP	12	case
12	62	NUM	4	nummod
13	%	SYM	12	nmod
14	na	ADP	16	case
15	651	NUM	16	nummod:gov
16	milionů	NOUN	4	nmod
17	DEM	NOUN	16	nmod
18	a	CCONJ	24	cc
19	chemický	ADJ	22	amod
20	a	CCONJ	21	cc
21	farmaceutický	ADJ	19	conj
22	koncern	NOUN	24	nsubj
23	Bayer	PROPN	22	nmod
24	zvýšil	VERB	3	conj
25	v	ADP	27	case
26	tomto	DET	27	det
27	období	NOUN	24	obl
28	zisk	NOUN	24	obj
29	o	ADP	30	case
30	25	NUM	24	obl
31	%	SYM	30	nmod
32	na	ADP	34	case
33	985	NUM	34	nummod:gov
34	milionů	NOUN	24	obl:arg
35	DEM	NOUN	34	nmod
36	.	PUNCT	3	punct