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:
Il confie au bailli Giulo Litta la tâche de récupérer les biens, ou pour le moins d'obtenir des prêts, mais la tsarine fait trainer les négociations et meurt avant leur fin.
Postion	Tokenization
1	Il
2	confie
3	au
4	à
5	le
6	bailli
7	Giulo
8	Litta
9	la
10	tâche
11	de
12	récupérer
13	les
14	biens
15	,
16	ou
17	pour
18	le
19	moins
20	d'
21	obtenir
22	des
23	prêts
24	,
25	mais
26	la
27	tsarine
28	fait
29	trainer
30	les
31	négociations
32	et
33	meurt
34	avant
35	leur
36	fin
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	2	nsubj
2	confie	VERB	0	root
3	au	_	None	_
4	à	ADP	5	case
5	le	DET	5	det
6	bailli	NOUN	2	obl:arg
7	Giulo	PROPN	5	appos
8	Litta	PROPN	6	flat:name
9	la	DET	9	det
10	tâche	NOUN	2	obj
11	de	ADP	11	mark
12	récupérer	VERB	9	acl
13	les	DET	13	det
14	biens	NOUN	11	obj
15	,	PUNCT	20	punct
16	ou	CCONJ	20	cc
17	pour	ADP	20	advmod
18	le	DET	16	fixed
19	moins	NOUN	16	fixed
20	d'	ADP	20	mark
21	obtenir	VERB	11	conj
22	des	DET	22	det
23	prêts	NOUN	20	obj
24	,	PUNCT	28	punct
25	mais	CCONJ	28	cc
26	la	DET	26	det
27	tsarine	NOUN	28	nsubj:caus
28	fait	AUX	28	aux:caus
29	trainer	VERB	2	conj
30	les	DET	30	det
31	négociations	NOUN	28	obj:agent
32	et	CCONJ	32	cc
33	meurt	VERB	28	conj
34	avant	ADP	35	case
35	leur	DET	35	det
36	fin	NOUN	32	obl:mod
37	.	PUNCT	2	punct