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:
Ayant aujourd'hui dans son viseur l'objectif de mai 2012, François Hollande part avec l'avantage de parfaitement connaître la maison socialiste.
Postion	Tokenization
1	Ayant
2	aujourd'hui
3	dans
4	son
5	viseur
6	l'
7	objectif
8	de
9	mai
10	2012
11	,
12	François
13	Hollande
14	part
15	avec
16	l'
17	avantage
18	de
19	parfaitement
20	connaître
21	la
22	maison
23	socialiste
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Ayant	VERB	14	advcl
2	aujourd'hui	ADV	1	advmod
3	dans	ADP	5	case
4	son	DET	5	det
5	viseur	NOUN	1	obl:mod
6	l'	DET	7	det
7	objectif	NOUN	1	obj
8	de	ADP	9	case
9	mai	NOUN	7	nmod
10	2012	NUM	9	nmod
11	,	PUNCT	1	punct
12	François	PROPN	14	nsubj
13	Hollande	PROPN	12	flat:name
14	part	VERB	0	root
15	avec	ADP	17	case
16	l'	DET	17	det
17	avantage	NOUN	14	obl:mod
18	de	ADP	20	mark
19	parfaitement	ADV	20	advmod
20	connaître	VERB	17	acl
21	la	DET	22	det
22	maison	NOUN	20	obj
23	socialiste	ADJ	22	amod
24	.	PUNCT	14	punct