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:
Fender racheté par CBS s'oriente progressivement vers une production plus "rationalisée" où les pièces nécessaires à la construction d'une Jazz Bass sont standardisées et les machines davantage automatisées.
Postion	Tokenization
1	Fender
2	racheté
3	par
4	CBS
5	s'
6	oriente
7	progressivement
8	vers
9	une
10	production
11	plus
12	"
13	rationalisée
14	"
15	où
16	les
17	pièces
18	nécessaires
19	à
20	la
21	construction
22	d'
23	une
24	Jazz
25	Bass
26	sont
27	standardisées
28	et
29	les
30	machines
31	davantage
32	automatisées
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Fender	PROPN	6	nsubj
2	racheté	VERB	1	acl
3	par	ADP	4	case
4	CBS	PROPN	2	obl:agent
5	s'	PRON	6	obj
6	oriente	VERB	0	root
7	progressivement	ADV	6	advmod
8	vers	ADP	10	case
9	une	DET	10	det
10	production	NOUN	6	obl:mod
11	plus	ADV	13	advmod
12	"	PUNCT	13	punct
13	rationalisée	VERB	10	acl
14	"	PUNCT	13	punct
15	où	ADV	27	advmod
16	les	DET	17	det
17	pièces	NOUN	27	nsubj
18	nécessaires	ADJ	17	amod
19	à	ADP	21	case
20	la	DET	21	det
21	construction	NOUN	17	nmod
22	d'	ADP	24	case
23	une	DET	24	det
24	Jazz	PROPN	21	nmod
25	Bass	PROPN	24	flat:name
26	sont	AUX	27	aux:tense
27	standardisées	VERB	10	acl:relcl
28	et	CCONJ	32	cc
29	les	DET	30	det
30	machines	NOUN	32	nsubj:pass
31	davantage	ADV	32	advmod
32	automatisées	VERB	27	conj
33	.	PUNCT	6	punct