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:
Con el contrato, de unos 1.400 millones de pesetas anuales, la Generalitat obtendrá un ahorro anual del 19% en la factura eléctrica de 90 puntos de consumo de las conselleries y el Institut Català de la Salut.
Postion	Tokenization
1	Con
2	el
3	contrato
4	,
5	de
6	unos
7	1.400
8	millones
9	de
10	pesetas
11	anuales
12	,
13	la
14	Generalitat
15	obtendrá
16	un
17	ahorro
18	anual
19	del
20	19%
21	en
22	la
23	factura
24	eléctrica
25	de
26	90
27	puntos
28	de
29	consumo
30	de
31	las
32	conselleries
33	y
34	el
35	Institut
36	Català
37	de
38	la
39	Salut
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Con	ADP	3	case
2	el	DET	3	det
3	contrato	NOUN	15	obl
4	,	PUNCT	8	punct
5	de	ADP	8	case
6	unos	PRON	7	nmod
7	1.400	NUM	8	nummod
8	millones	NOUN	3	nmod
9	de	ADP	10	case
10	pesetas	NOUN	8	nmod
11	anuales	ADJ	10	amod
12	,	PUNCT	8	punct
13	la	DET	14	det
14	Generalitat	PROPN	15	nsubj
15	obtendrá	VERB	0	root
16	un	DET	17	det
17	ahorro	NOUN	15	obj
18	anual	ADJ	17	amod
19	del	ADP	20	case
20	19%	SYM	17	nmod
21	en	ADP	23	case
22	la	DET	23	det
23	factura	NOUN	17	nmod
24	eléctrica	ADJ	23	amod
25	de	ADP	27	case
26	90	NUM	27	nummod
27	puntos	NOUN	17	nmod
28	de	ADP	29	case
29	consumo	NOUN	27	nmod
30	de	ADP	32	case
31	las	DET	32	det
32	conselleries	NOUN	29	nmod
33	y	CCONJ	35	cc
34	el	DET	35	det
35	Institut	PROPN	32	conj
36	Català	PROPN	35	flat
37	de	ADP	39	case
38	la	DET	39	det
39	Salut	PROPN	35	flat
40	.	PUNCT	15	punct