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:
En 2010, selon les chiffres présentés par le Département national des statistiques administratives (DANE), la ville avait une population de 7.363.782 habitants et 7.347.795 dans la zone métropolitaine, avec une densité de population d'environ 4146 habitants par kilomètre carré.
Postion	Tokenization
1	En
2	2010
3	,
4	selon
5	les
6	chiffres
7	présentés
8	par
9	le
10	Département
11	national
12	des
13	de
14	les
15	statistiques
16	administratives
17	(
18	DANE
19	)
20	,
21	la
22	ville
23	avait
24	une
25	population
26	de
27	7.363.782
28	habitants
29	et
30	7.347.795
31	dans
32	la
33	zone
34	métropolitaine
35	,
36	avec
37	une
38	densité
39	de
40	population
41	d'
42	environ
43	4146
44	habitants
45	par
46	kilomètre
47	carré
48	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	2010	NUM	22	obl:mod
3	,	PUNCT	2	punct
4	selon	ADP	6	case
5	les	DET	6	det
6	chiffres	NOUN	22	obl:mod
7	présentés	VERB	6	acl
8	par	ADP	10	case
9	le	DET	10	det
10	Département	NOUN	7	obl:agent
11	national	ADJ	10	amod
12	des	_	None	_
13	de	ADP	14	case
14	les	DET	14	det
15	statistiques	NOUN	10	nmod
16	administratives	ADJ	14	amod
17	(	PUNCT	17	punct
18	DANE	PROPN	10	appos
19	)	PUNCT	17	punct
20	,	PUNCT	6	punct
21	la	DET	21	det
22	ville	NOUN	22	nsubj
23	avait	VERB	0	root
24	une	DET	24	det
25	population	NOUN	22	obj
26	de	ADP	27	case
27	7.363.782	NUM	27	nummod
28	habitants	NOUN	24	nmod
29	et	CCONJ	29	cc
30	7.347.795	NUM	27	conj
31	dans	ADP	32	case
32	la	DET	32	det
33	zone	NOUN	29	nmod
34	métropolitaine	ADJ	32	amod
35	,	PUNCT	37	punct
36	avec	ADP	37	case
37	une	DET	37	det
38	densité	NOUN	22	obl:mod
39	de	ADP	39	case
40	population	NOUN	37	nmod
41	d'	ADP	43	case
42	environ	ADV	42	advmod
43	4146	NUM	43	nummod
44	habitants	NOUN	37	nmod
45	par	ADP	46	case
46	kilomètre	NOUN	46	nmod
47	carré	NOUN	37	nmod
48	.	PUNCT	22	punct