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 président américain a reçu jeudi pendant environ 45 minutes le prix Nobel de la paix 1989, qu'il a assuré de son "fort soutien" à la culture tibétaine.
Postion	Tokenization
1	Le
2	président
3	américain
4	a
5	reçu
6	jeudi
7	pendant
8	environ
9	45
10	minutes
11	le
12	prix
13	Nobel
14	de
15	la
16	paix
17	1989
18	,
19	qu'
20	il
21	a
22	assuré
23	de
24	son
25	"
26	fort
27	soutien
28	"
29	à
30	la
31	culture
32	tibétaine
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	président	NOUN	5	nsubj
3	américain	ADJ	2	amod
4	a	AUX	5	aux:tense
5	reçu	VERB	0	root
6	jeudi	NOUN	5	obl:mod
7	pendant	ADP	10	case
8	environ	ADV	9	advmod
9	45	NUM	10	nummod
10	minutes	NOUN	5	obl:mod
11	le	DET	12	det
12	prix	NOUN	5	obj
13	Nobel	PROPN	12	appos
14	de	ADP	16	case
15	la	DET	16	det
16	paix	NOUN	12	nmod
17	1989	NUM	16	nmod
18	,	PUNCT	22	punct
19	qu'	PRON	22	obj
20	il	PRON	22	nsubj
21	a	AUX	22	aux:tense
22	assuré	VERB	12	acl:relcl
23	de	ADP	27	case
24	son	DET	27	det
25	"	PUNCT	27	punct
26	fort	ADJ	27	amod
27	soutien	NOUN	22	obl:arg
28	"	PUNCT	27	punct
29	à	ADP	31	case
30	la	DET	31	det
31	culture	NOUN	27	nmod
32	tibétaine	ADJ	31	amod
33	.	PUNCT	5	punct