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:
Début janvier, Gene Raymond la fit transporter de nouveau à Houston où il espèrait que le Dr. Michael DeBakey, pionnier de la chirurgie cardiaque, pourrait opérer sur Jeanette le même miracle qu'il avait obtenu sur le Duc de Windsor.
Postion	Tokenization
1	Début
2	janvier
3	,
4	Gene
5	Raymond
6	la
7	fit
8	transporter
9	de
10	nouveau
11	à
12	Houston
13	où
14	il
15	espèrait
16	que
17	le
18	Dr.
19	Michael
20	DeBakey
21	,
22	pionnier
23	de
24	la
25	chirurgie
26	cardiaque
27	,
28	pourrait
29	opérer
30	sur
31	Jeanette
32	le
33	même
34	miracle
35	qu'
36	il
37	avait
38	obtenu
39	sur
40	le
41	Duc
42	de
43	Windsor
44	.
Position	Tokenization	UPOS	Head	Deprel
1	Début	NOUN	2	nmod
2	janvier	NOUN	8	obl:mod
3	,	PUNCT	2	punct
4	Gene	PROPN	8	nsubj:caus
5	Raymond	PROPN	4	flat:name
6	la	PRON	8	obj:agent
7	fit	AUX	8	aux:caus
8	transporter	VERB	0	root
9	de	ADP	8	advmod
10	nouveau	ADJ	9	fixed
11	à	ADP	12	case
12	Houston	PROPN	8	obl:mod
13	où	ADV	15	advmod
14	il	PRON	15	nsubj
15	espèrait	VERB	12	acl:relcl
16	que	SCONJ	28	mark
17	le	DET	18	det
18	Dr.	NOUN	28	nsubj
19	Michael	PROPN	18	appos
20	DeBakey	PROPN	19	flat:name
21	,	PUNCT	22	punct
22	pionnier	NOUN	18	appos
23	de	ADP	25	case
24	la	DET	25	det
25	chirurgie	NOUN	22	nmod
26	cardiaque	ADJ	25	amod
27	,	PUNCT	22	punct
28	pourrait	VERB	15	ccomp:obj
29	opérer	VERB	28	xcomp:obj
30	sur	ADP	31	case
31	Jeanette	PROPN	29	obl:mod
32	le	DET	34	det
33	même	ADJ	34	amod
34	miracle	NOUN	29	obj
35	qu'	PRON	38	obj
36	il	PRON	38	nsubj
37	avait	AUX	38	aux:tense
38	obtenu	VERB	34	acl:relcl
39	sur	ADP	41	case
40	le	DET	41	det
41	Duc	PROPN	38	obl:mod
42	de	ADP	43	case
43	Windsor	PROPN	41	nmod
44	.	PUNCT	8	punct