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 octobre 2008, elle présente le programme Tommy Hilfiger Presents Ironic Iconic America, basé sur le livre Ironic Iconic America écrit par George Lois.
Postion	Tokenization
1	En
2	octobre
3	2008
4	,
5	elle
6	présente
7	le
8	programme
9	Tommy
10	Hilfiger
11	Presents
12	Ironic
13	Iconic
14	America
15	,
16	basé
17	sur
18	le
19	livre
20	Ironic
21	Iconic
22	America
23	écrit
24	par
25	George
26	Lois
27	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	octobre	NOUN	6	obl:mod
3	2008	NUM	2	nmod
4	,	PUNCT	2	punct
5	elle	PRON	6	nsubj
6	présente	VERB	0	root
7	le	DET	8	det
8	programme	NOUN	6	obj
9	Tommy	PROPN	8	appos
10	Hilfiger	PROPN	9	flat:name
11	Presents	PROPN	10	flat:name
12	Ironic	PROPN	11	flat:name
13	Iconic	PROPN	12	flat:name
14	America	PROPN	13	flat:name
15	,	PUNCT	16	punct
16	basé	VERB	8	acl
17	sur	ADP	19	case
18	le	DET	19	det
19	livre	NOUN	16	obl:mod
20	Ironic	PROPN	19	appos
21	Iconic	PROPN	20	flat:name
22	America	PROPN	21	flat:name
23	écrit	VERB	19	acl
24	par	ADP	25	case
25	George	PROPN	23	obl:agent
26	Lois	PROPN	25	flat:name
27	.	PUNCT	6	punct