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:
(Anecdote : Dida, le gardien du Milan AC, fut également blessé durant le match, donc les deux équipes terminèrent le match avec leur gardien remplaçant).
Postion	Tokenization
1	(
2	Anecdote
3	:
4	Dida
5	,
6	le
7	gardien
8	du
9	de
10	le
11	Milan
12	AC
13	,
14	fut
15	également
16	blessé
17	durant
18	le
19	match
20	,
21	donc
22	les
23	deux
24	équipes
25	terminèrent
26	le
27	match
28	avec
29	leur
30	gardien
31	remplaçant
32	)
33	.
Position	Tokenization	UPOS	Head	Deprel
1	(	PUNCT	2	punct
2	Anecdote	NOUN	0	root
3	:	PUNCT	15	punct
4	Dida	PROPN	15	nsubj
5	,	PUNCT	7	punct
6	le	DET	7	det
7	gardien	NOUN	4	appos
8	du	_	None	_
9	de	ADP	10	case
10	le	DET	10	det
11	Milan	PROPN	7	nmod
12	AC	PROPN	10	flat:name
13	,	PUNCT	7	punct
14	fut	AUX	15	aux:tense
15	également	ADV	15	advmod
16	blessé	VERB	2	parataxis
17	durant	ADP	18	case
18	le	DET	18	det
19	match	NOUN	15	obl:mod
20	,	PUNCT	24	punct
21	donc	CCONJ	24	cc
22	les	DET	23	det
23	deux	NUM	23	nummod
24	équipes	NOUN	24	nsubj
25	terminèrent	VERB	15	conj
26	le	DET	26	det
27	match	NOUN	24	obj
28	avec	ADP	29	case
29	leur	DET	29	det
30	gardien	NOUN	24	obl:mod
31	remplaçant	VERB	29	acl
32	)	PUNCT	2	punct
33	.	PUNCT	2	punct