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:
Étrangement, on trouve la présence de la 2066 en 1925 et cette machine sera incorporé au parc de la SNCF en 1938 sous le numéro 1-030 TA 66.
Postion	Tokenization
1	Étrangement
2	,
3	on
4	trouve
5	la
6	présence
7	de
8	la
9	2066
10	en
11	1925
12	et
13	cette
14	machine
15	sera
16	incorporé
17	au
18	à
19	le
20	parc
21	de
22	la
23	SNCF
24	en
25	1938
26	sous
27	le
28	numéro
29	1-030
30	TA
31	66
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Étrangement	ADV	4	advmod
2	,	PUNCT	1	punct
3	on	PRON	4	nsubj
4	trouve	VERB	0	root
5	la	DET	6	det
6	présence	NOUN	4	obj
7	de	ADP	9	case
8	la	DET	9	det
9	2066	NUM	6	nmod
10	en	ADP	11	case
11	1925	NUM	4	obl:mod
12	et	CCONJ	16	cc
13	cette	DET	14	det
14	machine	NOUN	16	nsubj:pass
15	sera	AUX	16	aux:pass
16	incorporé	VERB	4	conj
17	au	_	None	_
18	à	ADP	19	case
19	le	DET	19	det
20	parc	NOUN	16	obl:arg
21	de	ADP	22	case
22	la	DET	22	det
23	SNCF	PROPN	19	nmod
24	en	ADP	24	case
25	1938	NUM	16	obl:mod
26	sous	ADP	27	case
27	le	DET	27	det
28	numéro	NOUN	16	obl:mod
29	1-030	NUM	27	nmod
30	TA	X	28	nmod
31	66	NUM	29	nmod
32	.	PUNCT	4	punct