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:
La production allemande d'acier, qui profite des gisements de la Lorraine annexée et de la cartellisation des industries, représente, en 1908, 12,8 Mt contre 5,3 Mt pour le Royaume-Uni, la production au four Martin atteignant alors dans chacun des deux pays environ 4 Mt.
Postion	Tokenization
1	La
2	production
3	allemande
4	d'
5	acier
6	,
7	qui
8	profite
9	des
10	de
11	les
12	gisements
13	de
14	la
15	Lorraine
16	annexée
17	et
18	de
19	la
20	cartellisation
21	des
22	de
23	les
24	industries
25	,
26	représente
27	,
28	en
29	1908
30	,
31	12,8
32	Mt
33	contre
34	5,3
35	Mt
36	pour
37	le
38	Royaume-Uni
39	,
40	la
41	production
42	au
43	à
44	le
45	four
46	Martin
47	atteignant
48	alors
49	dans
50	chacun
51	des
52	de
53	les
54	deux
55	pays
56	environ
57	4
58	Mt
59	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	production	NOUN	24	nsubj
3	allemande	ADJ	2	amod
4	d'	ADP	5	case
5	acier	NOUN	2	nmod
6	,	PUNCT	8	punct
7	qui	PRON	8	nsubj
8	profite	VERB	2	acl:relcl
9	des	_	None	_
10	de	ADP	11	case
11	les	DET	11	det
12	gisements	NOUN	8	obl:arg
13	de	ADP	14	case
14	la	DET	14	det
15	Lorraine	PROPN	11	nmod
16	annexée	VERB	14	acl
17	et	CCONJ	19	cc
18	de	ADP	19	case
19	la	DET	19	det
20	cartellisation	NOUN	11	conj
21	des	_	None	_
22	de	ADP	22	case
23	les	DET	22	det
24	industries	NOUN	19	nmod
25	,	PUNCT	8	punct
26	représente	VERB	0	root
27	,	PUNCT	27	punct
28	en	ADP	27	case
29	1908	NUM	24	obl:mod
30	,	PUNCT	30	punct
31	12,8	NUM	30	nummod
32	Mt	NOUN	24	obj
33	contre	ADP	33	case
34	5,3	NUM	33	nummod
35	Mt	NOUN	24	obl:mod
36	pour	ADP	36	case
37	le	DET	36	det
38	Royaume-Uni	PROPN	33	nmod
39	,	PUNCT	44	punct
40	la	DET	39	det
41	production	NOUN	44	nsubj
42	au	_	None	_
43	à	ADP	42	case
44	le	DET	42	det
45	four	NOUN	39	nmod
46	Martin	PROPN	42	appos
47	atteignant	VERB	24	advcl
48	alors	ADV	44	advmod
49	dans	ADP	47	case
50	chacun	PRON	44	obl:mod
51	des	_	None	_
52	de	ADP	51	case
53	les	DET	51	det
54	deux	NUM	51	nummod
55	pays	NOUN	47	nmod
56	environ	ADV	53	advmod
57	4	NUM	54	nummod
58	Mt	NOUN	44	obj
59	.	PUNCT	24	punct