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:
Accor avait annoncé en septembre 2009 qu'il comptait ouvrir 44 hôtels en Inde d'ici la fin 2012, portant sa capacité sur place à 10.400 chambres.
Postion	Tokenization
1	Accor
2	avait
3	annoncé
4	en
5	septembre
6	2009
7	qu'
8	il
9	comptait
10	ouvrir
11	44
12	hôtels
13	en
14	Inde
15	d'
16	ici
17	la
18	fin
19	2012
20	,
21	portant
22	sa
23	capacité
24	sur
25	place
26	à
27	10.400
28	chambres
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Accor	PROPN	3	nsubj
2	avait	AUX	3	aux:tense
3	annoncé	VERB	0	root
4	en	ADP	5	case
5	septembre	NOUN	3	obl:mod
6	2009	NUM	5	nmod
7	qu'	SCONJ	9	mark
8	il	PRON	9	nsubj
9	comptait	VERB	3	ccomp:obj
10	ouvrir	VERB	9	xcomp:obj
11	44	NUM	12	nummod
12	hôtels	NOUN	10	obj
13	en	ADP	14	case
14	Inde	PROPN	10	obl:mod
15	d'	ADP	18	case
16	ici	ADV	15	fixed
17	la	DET	18	det
18	fin	NOUN	10	obl:mod
19	2012	NUM	18	nmod
20	,	PUNCT	21	punct
21	portant	VERB	10	advcl
22	sa	DET	23	det
23	capacité	NOUN	21	obj
24	sur	ADP	25	case
25	place	NOUN	23	nmod
26	à	ADP	28	case
27	10.400	NUM	28	nummod
28	chambres	NOUN	21	obl:mod
29	.	PUNCT	3	punct