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:
O případném vstupu kanadské firmy Alcan do společnosti Alufinal Žiar nad Hronom by v termínu, který bude dohodnut ještě tento týden, měli jednat představitelé obou firem.
Postion	Tokenization
1	O
2	případném
3	vstupu
4	kanadské
5	firmy
6	Alcan
7	do
8	společnosti
9	Alufinal
10	Žiar
11	nad
12	Hronom
13	by
14	v
15	termínu
16	,
17	který
18	bude
19	dohodnut
20	ještě
21	tento
22	týden
23	,
24	měli
25	jednat
26	představitelé
27	obou
28	firem
29	.
Position	Tokenization	UPOS	Head	Deprel
1	O	ADP	3	case
2	případném	ADJ	3	amod
3	vstupu	NOUN	25	obl:arg
4	kanadské	ADJ	5	amod
5	firmy	NOUN	3	nmod
6	Alcan	PROPN	5	nmod
7	do	ADP	8	case
8	společnosti	NOUN	3	nmod
9	Alufinal	PROPN	8	nmod
10	Žiar	PROPN	9	nmod
11	nad	ADP	12	case
12	Hronom	PROPN	10	nmod
13	by	AUX	24	aux
14	v	ADP	15	case
15	termínu	NOUN	24	obl
16	,	PUNCT	19	punct
17	který	DET	19	nsubj:pass
18	bude	AUX	19	aux:pass
19	dohodnut	ADJ	15	amod
20	ještě	ADV	22	advmod:emph
21	tento	DET	22	det
22	týden	NOUN	19	obl
23	,	PUNCT	19	punct
24	měli	VERB	0	root
25	jednat	VERB	24	xcomp
26	představitelé	NOUN	24	nsubj
27	obou	NUM	28	nummod
28	firem	NOUN	26	nmod
29	.	PUNCT	24	punct