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 capitaine Haddock, suivant les conseils de la Castafiore, achète une œuvre de Ramo Nash, créateur de l'Alph-Art : un H en plexiglas.
Postion	Tokenization
1	Le
2	capitaine
3	Haddock
4	,
5	suivant
6	les
7	conseils
8	de
9	la
10	Castafiore
11	,
12	achète
13	une
14	œuvre
15	de
16	Ramo
17	Nash
18	,
19	créateur
20	de
21	l'
22	Alph-Art
23	:
24	un
25	H
26	en
27	plexiglas
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	capitaine	NOUN	12	nsubj
3	Haddock	PROPN	2	appos
4	,	PUNCT	5	punct
5	suivant	VERB	2	acl
6	les	DET	7	det
7	conseils	NOUN	5	obj
8	de	ADP	10	case
9	la	DET	10	det
10	Castafiore	PROPN	7	nmod
11	,	PUNCT	5	punct
12	achète	VERB	0	root
13	une	DET	14	det
14	œuvre	NOUN	12	obj
15	de	ADP	16	case
16	Ramo	PROPN	14	nmod
17	Nash	PROPN	16	flat:name
18	,	PUNCT	19	punct
19	créateur	NOUN	16	appos
20	de	ADP	22	case
21	l'	DET	22	det
22	Alph-Art	PROPN	19	nmod
23	:	PUNCT	25	punct
24	un	DET	25	det
25	H	NOUN	14	appos
26	en	ADP	27	case
27	plexiglas	NOUN	25	nmod
28	.	PUNCT	12	punct