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 prince Albert de Monaco est attendu cette semaine à Beyrouth pour une visite de quatre jours, au cours de laquelle il consacrera deux journées pour faire du tourisme.
Postion	Tokenization
1	Le
2	prince
3	Albert
4	de
5	Monaco
6	est
7	attendu
8	cette
9	semaine
10	à
11	Beyrouth
12	pour
13	une
14	visite
15	de
16	quatre
17	jours
18	,
19	au
20	à
21	le
22	cours
23	de
24	laquelle
25	il
26	consacrera
27	deux
28	journées
29	pour
30	faire
31	du
32	tourisme
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	prince	NOUN	7	nsubj
3	Albert	PROPN	2	appos
4	de	ADP	5	case
5	Monaco	PROPN	3	nmod
6	est	AUX	7	aux:tense
7	attendu	VERB	0	root
8	cette	DET	9	det
9	semaine	NOUN	7	obl:mod
10	à	ADP	11	case
11	Beyrouth	PROPN	7	obl:mod
12	pour	ADP	14	case
13	une	DET	14	det
14	visite	NOUN	7	obl:mod
15	de	ADP	17	case
16	quatre	NUM	17	nummod
17	jours	NOUN	14	nmod
18	,	PUNCT	25	punct
19	au	_	None	_
20	à	ADP	21	case
21	le	DET	21	det
22	cours	NOUN	25	obl:mod
23	de	ADP	23	case
24	laquelle	PRON	21	nmod
25	il	PRON	25	nsubj
26	consacrera	VERB	14	acl:relcl
27	deux	NUM	27	nummod
28	journées	NOUN	25	obj
29	pour	ADP	29	mark
30	faire	VERB	25	advcl
31	du	DET	31	det
32	tourisme	NOUN	29	obj
33	.	PUNCT	7	punct