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:
Teď má sedm firem sdružených v holdingu kolem Varsu celkem 56 zaměstnanců, loňský obrat činil dohromady přes 200 milionů korun a účetnictví pro všech sedm firem zvládají bez problémů tři účetní.
Postion	Tokenization
1	Teď
2	má
3	sedm
4	firem
5	sdružených
6	v
7	holdingu
8	kolem
9	Varsu
10	celkem
11	56
12	zaměstnanců
13	,
14	loňský
15	obrat
16	činil
17	dohromady
18	přes
19	200
20	milionů
21	korun
22	a
23	účetnictví
24	pro
25	všech
26	sedm
27	firem
28	zvládají
29	bez
30	problémů
31	tři
32	účetní
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Teď	ADV	2	advmod
2	má	VERB	0	root
3	sedm	NUM	4	nummod:gov
4	firem	NOUN	2	nsubj
5	sdružených	ADJ	4	amod
6	v	ADP	7	case
7	holdingu	NOUN	5	obl
8	kolem	ADP	9	case
9	Varsu	PROPN	7	nmod
10	celkem	ADV	2	advmod
11	56	NUM	12	nummod:gov
12	zaměstnanců	NOUN	2	obj
13	,	PUNCT	16	punct
14	loňský	ADJ	15	amod
15	obrat	NOUN	16	nsubj
16	činil	VERB	2	conj
17	dohromady	ADV	16	advmod
18	přes	ADP	20	case
19	200	NUM	20	nummod:gov
20	milionů	NOUN	16	obl:arg
21	korun	NOUN	20	nmod
22	a	CCONJ	28	cc
23	účetnictví	NOUN	28	obj
24	pro	ADP	27	case
25	všech	DET	26	amod
26	sedm	NUM	27	nummod:gov
27	firem	NOUN	23	nmod
28	zvládají	VERB	2	conj
29	bez	ADP	30	case
30	problémů	NOUN	28	obl
31	tři	NUM	32	nummod
32	účetní	NOUN	28	nsubj
33	.	PUNCT	2	punct