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:
Mme Merkel a remercié, à cette occasion, l'Algérie pour son soutien à la candidature de l'Allemagne pour un siège permanent au sein du Conseil de sécurité.
Postion	Tokenization
1	Mme
2	Merkel
3	a
4	remercié
5	,
6	à
7	cette
8	occasion
9	,
10	l'
11	Algérie
12	pour
13	son
14	soutien
15	à
16	la
17	candidature
18	de
19	l'
20	Allemagne
21	pour
22	un
23	siège
24	permanent
25	au
26	à
27	le
28	sein
29	du
30	de
31	le
32	Conseil
33	de
34	sécurité
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Mme	NOUN	4	nsubj
2	Merkel	PROPN	1	flat:name
3	a	AUX	4	aux:tense
4	remercié	VERB	0	root
5	,	PUNCT	8	punct
6	à	ADP	8	case
7	cette	DET	8	det
8	occasion	NOUN	4	obl:mod
9	,	PUNCT	11	punct
10	l'	DET	11	det
11	Algérie	PROPN	4	obj
12	pour	ADP	14	case
13	son	DET	14	det
14	soutien	NOUN	4	obl:mod
15	à	ADP	17	case
16	la	DET	17	det
17	candidature	NOUN	14	nmod
18	de	ADP	20	case
19	l'	DET	20	det
20	Allemagne	PROPN	17	nmod
21	pour	ADP	23	case
22	un	DET	23	det
23	siège	NOUN	17	nmod
24	permanent	ADJ	23	amod
25	au	_	None	_
26	à	ADP	27	case
27	le	DET	27	det
28	sein	NOUN	23	nmod
29	du	_	None	_
30	de	ADP	30	case
31	le	DET	30	det
32	Conseil	NOUN	27	nmod
33	de	ADP	32	case
34	sécurité	NOUN	30	nmod
35	.	PUNCT	4	punct