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:
Le rehaussement de ce même clocher à partir de 1431 ne fut pas pour arranger ce problème, auquel il ajoute le poids élevé du troisième étage et du toit pyramidal en pierre.
Postion	Tokenization
1	Le
2	rehaussement
3	de
4	ce
5	même
6	clocher
7	à
8	partir
9	de
10	1431
11	ne
12	fut
13	pas
14	pour
15	arranger
16	ce
17	problème
18	,
19	auquel
20	à
21	lequel
22	il
23	ajoute
24	le
25	poids
26	élevé
27	du
28	de
29	le
30	troisième
31	étage
32	et
33	du
34	de
35	le
36	toit
37	pyramidal
38	en
39	pierre
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	rehaussement	NOUN	12	nsubj
3	de	ADP	6	case
4	ce	DET	6	det
5	même	ADJ	6	amod
6	clocher	NOUN	2	nmod
7	à	ADP	2	advmod
8	partir	VERB	7	fixed
9	de	ADP	10	case
10	1431	NUM	7	obl:arg
11	ne	ADV	12	advmod
12	fut	VERB	0	root
13	pas	ADV	12	advmod
14	pour	ADP	15	mark
15	arranger	VERB	12	advcl
16	ce	DET	17	det
17	problème	NOUN	15	obj
18	,	PUNCT	22	punct
19	auquel	_	None	_
20	à	ADP	20	case
21	lequel	PRON	22	obl:arg
22	il	PRON	22	nsubj
23	ajoute	VERB	17	acl:relcl
24	le	DET	24	det
25	poids	NOUN	22	obj
26	élevé	VERB	24	acl
27	du	_	None	_
28	de	ADP	29	case
29	le	DET	29	det
30	troisième	ADJ	29	amod
31	étage	NOUN	24	nmod
32	et	CCONJ	33	cc
33	du	_	None	_
34	de	ADP	33	case
35	le	DET	33	det
36	toit	NOUN	29	conj
37	pyramidal	ADJ	33	amod
38	en	ADP	36	case
39	pierre	NOUN	33	nmod
40	.	PUNCT	12	punct