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:
Yersin suit alors de très près les problèmes agronomiques de ses hévéas et les problèmes techniques de son caoutchouc pour en tirer le maximum d'argent afin de financer ses recherches médicales.
Postion	Tokenization
1	Yersin
2	suit
3	alors
4	de
5	très
6	près
7	les
8	problèmes
9	agronomiques
10	de
11	ses
12	hévéas
13	et
14	les
15	problèmes
16	techniques
17	de
18	son
19	caoutchouc
20	pour
21	en
22	tirer
23	le
24	maximum
25	d'
26	argent
27	afin
28	de
29	financer
30	ses
31	recherches
32	médicales
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Yersin	PROPN	2	nsubj
2	suit	VERB	0	root
3	alors	ADV	2	advmod
4	de	ADP	6	case
5	très	ADV	6	advmod
6	près	ADV	2	obl:mod
7	les	DET	8	det
8	problèmes	NOUN	2	obj
9	agronomiques	ADJ	8	amod
10	de	ADP	12	case
11	ses	DET	12	det
12	hévéas	NOUN	8	nmod
13	et	CCONJ	15	cc
14	les	DET	15	det
15	problèmes	NOUN	8	conj
16	techniques	ADJ	15	amod
17	de	ADP	19	case
18	son	DET	19	det
19	caoutchouc	NOUN	15	nmod
20	pour	ADP	22	mark
21	en	PRON	22	obl:arg
22	tirer	VERB	2	advcl
23	le	DET	24	det
24	maximum	NOUN	22	obj
25	d'	ADP	26	case
26	argent	NOUN	24	nmod
27	afin	ADV	22	advmod
28	de	ADP	29	mark
29	financer	VERB	27	ccomp:obj
30	ses	DET	31	det
31	recherches	NOUN	29	obj
32	médicales	ADJ	31	amod
33	.	PUNCT	2	punct