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:
Pour être à la hauteur des ambitions de conquête de ses propriétaires, le château est renforcée par la construction d'une deuxième enceinte et on surélève trois tours construites en 1235.
Postion	Tokenization
1	Pour
2	être
3	à
4	la
5	hauteur
6	des
7	de
8	les
9	ambitions
10	de
11	conquête
12	de
13	ses
14	propriétaires
15	,
16	le
17	château
18	est
19	renforcée
20	par
21	la
22	construction
23	d'
24	une
25	deuxième
26	enceinte
27	et
28	on
29	surélève
30	trois
31	tours
32	construites
33	en
34	1235
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Pour	ADP	5	mark
2	être	AUX	5	cop
3	à	ADP	5	case
4	la	DET	5	det
5	hauteur	NOUN	18	advcl
6	des	_	None	_
7	de	ADP	8	case
8	les	DET	8	det
9	ambitions	NOUN	5	nmod
10	de	ADP	10	case
11	conquête	NOUN	8	nmod
12	de	ADP	13	case
13	ses	DET	13	det
14	propriétaires	NOUN	8	nmod
15	,	PUNCT	5	punct
16	le	DET	16	det
17	château	NOUN	18	nsubj:pass
18	est	AUX	18	aux:pass
19	renforcée	VERB	0	root
20	par	ADP	21	case
21	la	DET	21	det
22	construction	NOUN	18	obl:agent
23	d'	ADP	25	case
24	une	DET	25	det
25	deuxième	ADJ	25	amod
26	enceinte	NOUN	21	nmod
27	et	CCONJ	28	cc
28	on	PRON	28	nsubj
29	surélève	VERB	18	conj
30	trois	NUM	30	nummod
31	tours	NOUN	28	obj
32	construites	VERB	30	acl
33	en	ADP	33	case
34	1235	NUM	31	obl:mod
35	.	PUNCT	18	punct