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 chaîne France 24 avait annoncé vendredi qu'un de ses cameramen, Nelson Rand, de nationalité candienne, avait été grièvement blessé dans l'exercice de son métier.
Postion	Tokenization
1	La
2	chaîne
3	France
4	24
5	avait
6	annoncé
7	vendredi
8	qu'
9	un
10	de
11	ses
12	cameramen
13	,
14	Nelson
15	Rand
16	,
17	de
18	nationalité
19	candienne
20	,
21	avait
22	été
23	grièvement
24	blessé
25	dans
26	l'
27	exercice
28	de
29	son
30	métier
31	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	chaîne	NOUN	6	nsubj
3	France	PROPN	2	appos
4	24	NUM	3	nmod
5	avait	AUX	6	aux:tense
6	annoncé	VERB	0	root
7	vendredi	NOUN	6	obl:mod
8	qu'	SCONJ	24	mark
9	un	PRON	24	nsubj:pass
10	de	ADP	12	case
11	ses	DET	12	det
12	cameramen	NOUN	9	nmod
13	,	PUNCT	14	punct
14	Nelson	PROPN	12	appos
15	Rand	PROPN	14	flat:name
16	,	PUNCT	18	punct
17	de	ADP	18	case
18	nationalité	NOUN	12	nmod
19	candienne	ADJ	18	amod
20	,	PUNCT	9	punct
21	avait	AUX	24	aux:tense
22	été	AUX	24	aux:pass
23	grièvement	ADV	24	advmod
24	blessé	VERB	6	ccomp:obj
25	dans	ADP	27	case
26	l'	DET	27	det
27	exercice	NOUN	24	obl:mod
28	de	ADP	30	case
29	son	DET	30	det
30	métier	NOUN	27	nmod
31	.	PUNCT	6	punct