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:
Francouzský fotbalový bouřlivák Eric Cantona, který za deset let vystřídal devět klubů, se zřejmě upíše svému stávajícímu zaměstnavateli Manchester United až do konce fotbalové kariéry.
Postion	Tokenization
1	Francouzský
2	fotbalový
3	bouřlivák
4	Eric
5	Cantona
6	,
7	který
8	za
9	deset
10	let
11	vystřídal
12	devět
13	klubů
14	,
15	se
16	zřejmě
17	upíše
18	svému
19	stávajícímu
20	zaměstnavateli
21	Manchester
22	United
23	až
24	do
25	konce
26	fotbalové
27	kariéry
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Francouzský	ADJ	3	amod
2	fotbalový	ADJ	3	amod
3	bouřlivák	NOUN	17	nsubj
4	Eric	PROPN	3	flat
5	Cantona	PROPN	3	flat
6	,	PUNCT	11	punct
7	který	DET	11	nsubj
8	za	ADP	10	case
9	deset	NUM	10	nummod:gov
10	let	NOUN	11	obl
11	vystřídal	VERB	3	acl:relcl
12	devět	NUM	13	nummod:gov
13	klubů	NOUN	11	obj
14	,	PUNCT	11	punct
15	se	PRON	17	obj
16	zřejmě	ADV	17	advmod
17	upíše	VERB	0	root
18	svému	DET	20	det
19	stávajícímu	ADJ	20	amod
20	zaměstnavateli	NOUN	17	obl:arg
21	Manchester	PROPN	20	nmod
22	United	ADJ	21	amod
23	až	PART	25	advmod:emph
24	do	ADP	25	case
25	konce	NOUN	17	obl
26	fotbalové	ADJ	27	amod
27	kariéry	NOUN	25	nmod
28	.	PUNCT	17	punct