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:
Elle est ministre syrienne de la Culture de 1976 à 2000 puis vice-présidente de la République arabe syrienne depuis 2006, poste qu'elle occupe en tandem avec Farouk Al-Chareh.
Postion	Tokenization
1	Elle
2	est
3	ministre
4	syrienne
5	de
6	la
7	Culture
8	de
9	1976
10	à
11	2000
12	puis
13	vice-présidente
14	de
15	la
16	République
17	arabe
18	syrienne
19	depuis
20	2006
21	,
22	poste
23	qu'
24	elle
25	occupe
26	en
27	tandem
28	avec
29	Farouk
30	Al-Chareh
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Elle	PRON	3	nsubj
2	est	AUX	3	cop
3	ministre	NOUN	0	root
4	syrienne	ADJ	3	amod
5	de	ADP	7	case
6	la	DET	7	det
7	Culture	NOUN	3	nmod
8	de	ADP	9	case
9	1976	NUM	3	nmod
10	à	ADP	11	case
11	2000	NUM	9	nmod
12	puis	ADV	13	cc
13	vice-présidente	NOUN	3	conj
14	de	ADP	16	case
15	la	DET	16	det
16	République	NOUN	13	nmod
17	arabe	ADJ	16	amod
18	syrienne	ADJ	16	amod
19	depuis	ADP	20	case
20	2006	NUM	13	nmod
21	,	PUNCT	22	punct
22	poste	NOUN	13	appos
23	qu'	PRON	25	obj
24	elle	PRON	25	nsubj
25	occupe	VERB	22	acl:relcl
26	en	ADP	27	case
27	tandem	NOUN	25	obl:mod
28	avec	ADP	29	case
29	Farouk	PROPN	25	obl:mod
30	Al-Chareh	PROPN	29	flat:name
31	.	PUNCT	3	punct