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:
Lorsque Wharton manqua à ses engagements, Young dut plaider son cas devant le chancelier Hardwicke en 1740, obtint la pension, mais non les 600 livres.
Postion	Tokenization
1	Lorsque
2	Wharton
3	manqua
4	à
5	ses
6	engagements
7	,
8	Young
9	dut
10	plaider
11	son
12	cas
13	devant
14	le
15	chancelier
16	Hardwicke
17	en
18	1740
19	,
20	obtint
21	la
22	pension
23	,
24	mais
25	non
26	les
27	600
28	livres
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Lorsque	SCONJ	3	mark
2	Wharton	PROPN	3	nsubj
3	manqua	VERB	9	advcl
4	à	ADP	6	case
5	ses	DET	6	det
6	engagements	NOUN	3	obl:arg
7	,	PUNCT	3	punct
8	Young	PROPN	9	nsubj
9	dut	VERB	0	root
10	plaider	VERB	9	xcomp:obj
11	son	DET	12	det
12	cas	NOUN	10	obj
13	devant	ADP	15	case
14	le	DET	15	det
15	chancelier	NOUN	10	obl:mod
16	Hardwicke	PROPN	15	appos
17	en	ADP	18	case
18	1740	NUM	10	obl:mod
19	,	PUNCT	20	punct
20	obtint	VERB	10	conj
21	la	DET	22	det
22	pension	NOUN	20	obj
23	,	PUNCT	28	punct
24	mais	CCONJ	28	cc
25	non	ADV	28	advmod
26	les	DET	28	det
27	600	NUM	28	nummod
28	livres	NOUN	22	conj
29	.	PUNCT	9	punct