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:
Une conséquence de ces nouvelles orientations fut sa séparation avec les écoles d'architecture (en résumé, dû à la tension depuis le XIXe siècle entre « ingénieurs » et « auteurs »).
Postion	Tokenization
1	Une
2	conséquence
3	de
4	ces
5	nouvelles
6	orientations
7	fut
8	sa
9	séparation
10	avec
11	les
12	écoles
13	d'
14	architecture
15	(
16	en
17	résumé
18	,
19	dû
20	à
21	la
22	tension
23	depuis
24	le
25	XIXe
26	siècle
27	entre
28	«
29	ingénieurs
30	»
31	et
32	«
33	auteurs
34	»
35	)
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Une	DET	2	det
2	conséquence	NOUN	9	nsubj
3	de	ADP	6	case
4	ces	DET	6	det
5	nouvelles	ADJ	6	amod
6	orientations	NOUN	2	nmod
7	fut	AUX	9	cop
8	sa	DET	9	det
9	séparation	NOUN	0	root
10	avec	ADP	12	case
11	les	DET	12	det
12	écoles	NOUN	9	nmod
13	d'	ADP	14	case
14	architecture	NOUN	12	nmod
15	(	PUNCT	19	punct
16	en	ADP	17	case
17	résumé	NOUN	19	obl:mod
18	,	PUNCT	17	punct
19	dû	VERB	9	parataxis
20	à	ADP	22	case
21	la	DET	22	det
22	tension	NOUN	19	obl:arg
23	depuis	ADP	26	case
24	le	DET	26	det
25	XIXe	ADJ	26	amod
26	siècle	NOUN	19	obl:mod
27	entre	ADP	29	case
28	«	PUNCT	29	punct
29	ingénieurs	NOUN	26	nmod
30	»	PUNCT	29	punct
31	et	CCONJ	33	cc
32	«	PUNCT	33	punct
33	auteurs	NOUN	29	conj
34	»	PUNCT	33	punct
35	)	PUNCT	19	punct
36	.	PUNCT	9	punct