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 fotbalista Manchesteru United Eric Cantona byl včera londýnskou policií obviněn z útoku na diváka při utkání Manchesteru United s mužstvem Crystal Palace 25. ledna.
Postion	Tokenization
1	Francouzský
2	fotbalista
3	Manchesteru
4	United
5	Eric
6	Cantona
7	byl
8	včera
9	londýnskou
10	policií
11	obviněn
12	z
13	útoku
14	na
15	diváka
16	při
17	utkání
18	Manchesteru
19	United
20	s
21	mužstvem
22	Crystal
23	Palace
24	25
25	.
26	ledna
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Francouzský	ADJ	2	amod
2	fotbalista	NOUN	11	nsubj:pass
3	Manchesteru	PROPN	2	nmod
4	United	ADJ	3	amod
5	Eric	PROPN	2	flat
6	Cantona	PROPN	2	flat
7	byl	AUX	11	aux:pass
8	včera	ADV	11	advmod
9	londýnskou	ADJ	10	amod
10	policií	NOUN	11	obl:arg
11	obviněn	ADJ	0	root
12	z	ADP	13	case
13	útoku	NOUN	11	obl:arg
14	na	ADP	15	case
15	diváka	NOUN	13	nmod
16	při	ADP	17	case
17	utkání	NOUN	13	nmod
18	Manchesteru	PROPN	17	nmod
19	United	ADJ	18	amod
20	s	ADP	21	case
21	mužstvem	NOUN	17	nmod
22	Crystal	PROPN	21	nmod
23	Palace	PROPN	22	nmod
24	25	NUM	26	nummod
25	.	PUNCT	24	punct
26	ledna	NOUN	17	nmod
27	.	PUNCT	11	punct