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:
Veuf en pleine force de l'âge, il essaie de se trouver une seconde épouse, sans que les rencontres et les pourparlers n'aboutissent.
Postion	Tokenization
1	Veuf
2	en
3	pleine
4	force
5	de
6	l'
7	âge
8	,
9	il
10	essaie
11	de
12	se
13	trouver
14	une
15	seconde
16	épouse
17	,
18	sans
19	que
20	les
21	rencontres
22	et
23	les
24	pourparlers
25	n'
26	aboutissent
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Veuf	ADJ	10	advcl
2	en	ADP	4	case
3	pleine	ADJ	4	amod
4	force	NOUN	1	obl:mod
5	de	ADP	7	case
6	l'	DET	7	det
7	âge	NOUN	4	nmod
8	,	PUNCT	1	punct
9	il	PRON	10	nsubj
10	essaie	VERB	0	root
11	de	ADP	13	mark
12	se	PRON	13	obl:arg
13	trouver	VERB	10	xcomp:obj
14	une	DET	16	det
15	seconde	ADJ	16	amod
16	épouse	NOUN	13	obj
17	,	PUNCT	26	punct
18	sans	ADP	26	mark
19	que	SCONJ	26	mark
20	les	DET	21	det
21	rencontres	NOUN	26	nsubj
22	et	CCONJ	24	cc
23	les	DET	24	det
24	pourparlers	NOUN	21	conj
25	n'	ADV	26	advmod
26	aboutissent	VERB	10	advcl
27	.	PUNCT	10	punct