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 crecimiento de Citroen para los próximos seis años, calculado en el 50 por ciento supondrá, según el director general, unas ventas de alrededor de 1,5 millones de vehículos.
Postion	Tokenization
1	El
2	crecimiento
3	de
4	Citroen
5	para
6	los
7	próximos
8	seis
9	años
10	,
11	calculado
12	en
13	el
14	50
15	por
16	ciento
17	supondrá
18	,
19	según
20	el
21	director
22	general
23	,
24	unas
25	ventas
26	de
27	alrededor
28	de
29	1,5
30	millones
31	de
32	vehículos
33	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	crecimiento	NOUN	17	nsubj
3	de	ADP	4	case
4	Citroen	PROPN	2	nmod
5	para	ADP	9	case
6	los	DET	9	det
7	próximos	ADJ	6	amod
8	seis	NUM	6	nummod
9	años	NOUN	2	nmod
10	,	PUNCT	11	punct
11	calculado	ADJ	2	amod
12	en	ADP	14	case
13	el	DET	14	det
14	50	NUM	11	obl
15	por	ADP	16	case
16	ciento	NUM	14	compound
17	supondrá	VERB	0	root
18	,	PUNCT	21	punct
19	según	ADP	21	case
20	el	DET	21	det
21	director	NOUN	17	obl
22	general	ADJ	21	amod
23	,	PUNCT	21	punct
24	unas	DET	25	det
25	ventas	NOUN	17	obj
26	de	ADP	30	case
27	alrededor	ADV	30	advmod
28	de	ADP	27	case
29	1,5	NUM	27	nummod
30	millones	NOUN	25	nmod
31	de	ADP	32	case
32	vehículos	NOUN	30	nmod
33	.	PUNCT	17	punct