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:
El número de ventas de las berlinas es "fijo y constante y de hecho ninguna marca ha reducido su oferta de berlinas", argumentó Claude Satinet.
Postion	Tokenization
1	El
2	número
3	de
4	ventas
5	de
6	las
7	berlinas
8	es
9	"
10	fijo
11	y
12	constante
13	y
14	de
15	hecho
16	ninguna
17	marca
18	ha
19	reducido
20	su
21	oferta
22	de
23	berlinas
24	"
25	,
26	argumentó
27	Claude
28	Satinet
29	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	número	NOUN	10	nsubj
3	de	ADP	4	case
4	ventas	NOUN	2	nmod
5	de	ADP	7	case
6	las	DET	7	det
7	berlinas	NOUN	4	nmod
8	es	AUX	10	cop
9	"	PUNCT	10	punct
10	fijo	ADJ	26	ccomp
11	y	CCONJ	12	cc
12	constante	ADJ	10	conj
13	y	CCONJ	19	cc
14	de	ADP	19	advmod
15	hecho	NOUN	14	fixed
16	ninguna	DET	17	det
17	marca	NOUN	19	nsubj
18	ha	AUX	19	aux
19	reducido	VERB	10	conj
20	su	DET	21	det
21	oferta	NOUN	19	obj
22	de	ADP	23	case
23	berlinas	NOUN	21	nmod
24	"	PUNCT	10	punct
25	,	PUNCT	10	punct
26	argumentó	VERB	0	root
27	Claude	PROPN	26	nsubj
28	Satinet	PROPN	27	flat
29	.	PUNCT	26	punct