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:
Un femme très sympathique que je recommande, c'est un petit cabinet mais qui n'a pas l'air de manquer de sérieux pour autant.
Postion	Tokenization
1	Un
2	femme
3	très
4	sympathique
5	que
6	je
7	recommande
8	,
9	c'
10	est
11	un
12	petit
13	cabinet
14	mais
15	qui
16	n'
17	a
18	pas
19	l'
20	air
21	de
22	manquer
23	de
24	sérieux
25	pour
26	autant
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Un	DET	2	det
2	femme	NOUN	13	parataxis
3	très	ADV	4	advmod
4	sympathique	ADJ	2	amod
5	que	PRON	7	obj
6	je	PRON	7	nsubj
7	recommande	VERB	2	acl:relcl
8	,	PUNCT	2	punct
9	c'	PRON	13	nsubj
10	est	AUX	13	cop
11	un	DET	13	det
12	petit	ADJ	13	amod
13	cabinet	NOUN	0	root
14	mais	CCONJ	17	cc
15	qui	PRON	17	nsubj
16	n'	ADV	17	advmod
17	a	VERB	13	conj
18	pas	ADV	17	advmod
19	l'	DET	20	det
20	air	NOUN	17	obj
21	de	ADP	22	mark
22	manquer	VERB	20	acl
23	de	ADP	24	case
24	sérieux	ADJ	22	obl:arg
25	pour	ADP	17	advmod
26	autant	ADV	25	fixed
27	.	PUNCT	13	punct