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:
En revanche, dans l'élection qui suivit la démission de Lord Melbourne, Sir Robert Peel et les tories ne parvinrent pas à remporter une majorité des suffrages.
Postion	Tokenization
1	En
2	revanche
3	,
4	dans
5	l'
6	élection
7	qui
8	suivit
9	la
10	démission
11	de
12	Lord
13	Melbourne
14	,
15	Sir
16	Robert
17	Peel
18	et
19	les
20	tories
21	ne
22	parvinrent
23	pas
24	à
25	remporter
26	une
27	majorité
28	des
29	de
30	les
31	suffrages
32	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	revanche	NOUN	22	obl:mod
3	,	PUNCT	2	punct
4	dans	ADP	6	case
5	l'	DET	6	det
6	élection	NOUN	22	obl:mod
7	qui	PRON	8	nsubj
8	suivit	VERB	6	acl:relcl
9	la	DET	10	det
10	démission	NOUN	8	obj
11	de	ADP	12	case
12	Lord	PROPN	10	nmod
13	Melbourne	PROPN	12	flat:name
14	,	PUNCT	6	punct
15	Sir	PROPN	22	nsubj
16	Robert	PROPN	15	flat:name
17	Peel	PROPN	16	flat:name
18	et	CCONJ	20	cc
19	les	DET	20	det
20	tories	NOUN	15	conj
21	ne	ADV	22	advmod
22	parvinrent	VERB	0	root
23	pas	ADV	22	advmod
24	à	ADP	25	mark
25	remporter	VERB	22	xcomp:obl
26	une	DET	27	det
27	majorité	NOUN	25	obj
28	des	_	None	_
29	de	ADP	30	case
30	les	DET	30	det
31	suffrages	NOUN	27	nmod
32	.	PUNCT	22	punct