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:
En effet, l'année suivante, la TMSF prend tous les actions de Cem Uzan, propriétaire de la chaîne pour avoir blanchi de l'argent sur les comptes de l'IMAR Bankasi ainsi que de Star TV.
Postion	Tokenization
1	En
2	effet
3	,
4	l'
5	année
6	suivante
7	,
8	la
9	TMSF
10	prend
11	tous
12	les
13	actions
14	de
15	Cem
16	Uzan
17	,
18	propriétaire
19	de
20	la
21	chaîne
22	pour
23	avoir
24	blanchi
25	de
26	l'
27	argent
28	sur
29	les
30	comptes
31	de
32	l'
33	IMAR
34	Bankasi
35	ainsi
36	que
37	de
38	Star
39	TV
40	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	10	advmod
2	effet	NOUN	1	fixed
3	,	PUNCT	1	punct
4	l'	DET	5	det
5	année	NOUN	10	obl:mod
6	suivante	ADJ	5	amod
7	,	PUNCT	5	punct
8	la	DET	9	det
9	TMSF	PROPN	10	nsubj
10	prend	VERB	0	root
11	tous	ADJ	13	amod
12	les	DET	13	det
13	actions	NOUN	10	obj
14	de	ADP	15	case
15	Cem	PROPN	13	nmod
16	Uzan	PROPN	15	flat:name
17	,	PUNCT	18	punct
18	propriétaire	NOUN	15	appos
19	de	ADP	21	case
20	la	DET	21	det
21	chaîne	NOUN	18	nmod
22	pour	ADP	24	mark
23	avoir	AUX	24	aux:tense
24	blanchi	VERB	10	advcl
25	de	ADP	27	det
26	l'	DET	25	fixed
27	argent	NOUN	24	obj
28	sur	ADP	30	case
29	les	DET	30	det
30	comptes	NOUN	24	obl:mod
31	de	ADP	33	case
32	l'	DET	33	det
33	IMAR	PROPN	30	nmod
34	Bankasi	PROPN	33	appos
35	ainsi	ADV	38	cc
36	que	SCONJ	35	fixed
37	de	ADP	38	case
38	Star	PROPN	33	conj
39	TV	NOUN	38	flat:name
40	.	PUNCT	10	punct