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:
Le conférencier estime "qu'il serait vain de compter sur le conseil de sécurité pour sanctionner les criminels de guerre car c'est un" conseil politique ".
Postion	Tokenization
1	Le
2	conférencier
3	estime
4	"
5	qu'
6	il
7	serait
8	vain
9	de
10	compter
11	sur
12	le
13	conseil
14	de
15	sécurité
16	pour
17	sanctionner
18	les
19	criminels
20	de
21	guerre
22	car
23	c'
24	est
25	un
26	"
27	conseil
28	politique
29	"
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	conférencier	NOUN	3	nsubj
3	estime	VERB	0	root
4	"	PUNCT	8	punct
5	qu'	SCONJ	8	mark
6	il	PRON	8	expl:subj
7	serait	AUX	8	cop
8	vain	ADJ	3	ccomp:obj
9	de	ADP	10	mark
10	compter	VERB	8	csubj
11	sur	ADP	13	case
12	le	DET	13	det
13	conseil	NOUN	10	obl:mod
14	de	ADP	15	case
15	sécurité	NOUN	13	nmod
16	pour	ADP	17	mark
17	sanctionner	VERB	10	advcl
18	les	DET	19	det
19	criminels	NOUN	17	obj
20	de	ADP	21	case
21	guerre	NOUN	19	nmod
22	car	CCONJ	27	cc
23	c'	PRON	27	nsubj
24	est	AUX	27	cop
25	un	DET	27	det
26	"	PUNCT	27	punct
27	conseil	NOUN	17	conj
28	politique	ADJ	27	amod
29	"	PUNCT	27	punct
30	.	PUNCT	3	punct