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:
Conscient qu'une percée allemande provoquerait à la fois l'encerclement des forces britanniques et la coupure de leur voie d'approvisionnement, Paget envoya ses troupes au sud, à Lillehammer.
Postion	Tokenization
1	Conscient
2	qu'
3	une
4	percée
5	allemande
6	provoquerait
7	à
8	la
9	fois
10	l'
11	encerclement
12	des
13	de
14	les
15	forces
16	britanniques
17	et
18	la
19	coupure
20	de
21	leur
22	voie
23	d'
24	approvisionnement
25	,
26	Paget
27	envoya
28	ses
29	troupes
30	au
31	à
32	le
33	sud
34	,
35	à
36	Lillehammer
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Conscient	ADJ	26	advcl
2	qu'	SCONJ	6	mark
3	une	DET	4	det
4	percée	NOUN	6	nsubj
5	allemande	ADJ	4	amod
6	provoquerait	VERB	1	ccomp:obl
7	à	ADP	11	advmod
8	la	DET	7	fixed
9	fois	NOUN	7	fixed
10	l'	DET	11	det
11	encerclement	NOUN	6	obj
12	des	_	None	_
13	de	ADP	14	case
14	les	DET	14	det
15	forces	NOUN	11	nmod
16	britanniques	ADJ	14	amod
17	et	CCONJ	18	cc
18	la	DET	18	det
19	coupure	NOUN	11	conj
20	de	ADP	21	case
21	leur	DET	21	det
22	voie	NOUN	18	nmod
23	d'	ADP	23	case
24	approvisionnement	NOUN	21	nmod
25	,	PUNCT	1	punct
26	Paget	PROPN	26	nsubj
27	envoya	VERB	0	root
28	ses	DET	28	det
29	troupes	NOUN	26	obj
30	au	_	None	_
31	à	ADP	31	case
32	le	DET	31	det
33	sud	NOUN	26	obl:arg
34	,	PUNCT	34	punct
35	à	ADP	34	case
36	Lillehammer	PROPN	26	obl:mod
37	.	PUNCT	26	punct