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:
La conférence était dédiée à la mémoire du communiste Chris Hani, militant contre l'Apartheid, assassiné le 10 avril 1993.
Postion	Tokenization
1	La
2	conférence
3	était
4	dédiée
5	à
6	la
7	mémoire
8	du
9	de
10	le
11	communiste
12	Chris
13	Hani
14	,
15	militant
16	contre
17	l'
18	Apartheid
19	,
20	assassiné
21	le
22	10
23	avril
24	1993
25	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	conférence	NOUN	4	nsubj
3	était	AUX	4	aux:tense
4	dédiée	VERB	0	root
5	à	ADP	7	case
6	la	DET	7	det
7	mémoire	NOUN	4	obl:arg
8	du	_	None	_
9	de	ADP	10	case
10	le	DET	10	det
11	communiste	NOUN	7	nmod
12	Chris	PROPN	10	appos
13	Hani	PROPN	11	flat:name
14	,	PUNCT	14	punct
15	militant	VERB	10	acl
16	contre	ADP	17	case
17	l'	DET	17	det
18	Apartheid	PROPN	14	obl:mod
19	,	PUNCT	19	punct
20	assassiné	VERB	10	acl
21	le	DET	21	det
22	10	NUM	19	obl:mod
23	avril	NOUN	21	nmod
24	1993	NUM	22	nmod
25	.	PUNCT	4	punct