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:
Ces efforts sont sans précédents, mais la Dépression en a raison : les indices des prix, profits, production, et chômage empirent.
Postion	Tokenization
1	Ces
2	efforts
3	sont
4	sans
5	précédents
6	,
7	mais
8	la
9	Dépression
10	en
11	a
12	raison
13	:
14	les
15	indices
16	des
17	de
18	les
19	prix
20	,
21	profits
22	,
23	production
24	,
25	et
26	chômage
27	empirent
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Ces	DET	2	det
2	efforts	NOUN	5	nsubj
3	sont	AUX	5	cop
4	sans	ADP	5	case
5	précédents	NOUN	0	root
6	,	PUNCT	11	punct
7	mais	CCONJ	11	cc
8	la	DET	9	det
9	Dépression	NOUN	11	nsubj
10	en	PRON	11	obl:arg
11	a	VERB	5	conj
12	raison	NOUN	11	obj:lvc
13	:	PUNCT	26	punct
14	les	DET	15	det
15	indices	NOUN	26	nsubj
16	des	_	None	_
17	de	ADP	18	case
18	les	DET	18	det
19	prix	NOUN	15	nmod
20	,	PUNCT	20	punct
21	profits	NOUN	18	conj
22	,	PUNCT	22	punct
23	production	NOUN	18	conj
24	,	PUNCT	25	punct
25	et	CCONJ	25	cc
26	chômage	NOUN	18	conj
27	empirent	VERB	11	parataxis
28	.	PUNCT	5	punct