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:
La Cámara de Comercio de Lleida, Acesa y el Ministerio de Fomento firmaron ayer el acuerdo por el que los camiones que circulen entre Alfajarín y Martorell por la A-2 tendrán bonificaciones de 1.000 a 1.500 pesetas.
Postion	Tokenization
1	La
2	Cámara
3	de
4	Comercio
5	de
6	Lleida
7	,
8	Acesa
9	y
10	el
11	Ministerio
12	de
13	Fomento
14	firmaron
15	ayer
16	el
17	acuerdo
18	por
19	el
20	que
21	los
22	camiones
23	que
24	circulen
25	entre
26	Alfajarín
27	y
28	Martorell
29	por
30	la
31	A-2
32	tendrán
33	bonificaciones
34	de
35	1.000
36	a
37	1.500
38	pesetas
39	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	Cámara	PROPN	14	nsubj
3	de	ADP	4	case
4	Comercio	PROPN	2	flat
5	de	ADP	6	case
6	Lleida	PROPN	2	flat
7	,	PUNCT	8	punct
8	Acesa	PROPN	2	flat
9	y	CCONJ	11	cc
10	el	DET	11	det
11	Ministerio	PROPN	2	conj
12	de	ADP	13	case
13	Fomento	PROPN	11	flat
14	firmaron	VERB	0	root
15	ayer	ADV	14	advmod
16	el	DET	17	det
17	acuerdo	NOUN	14	obj
18	por	ADP	20	case
19	el	DET	20	det
20	que	PRON	32	obl
21	los	DET	22	det
22	camiones	NOUN	32	nsubj
23	que	PRON	24	nsubj
24	circulen	VERB	22	acl
25	entre	ADP	26	case
26	Alfajarín	PROPN	24	obl
27	y	CCONJ	28	cc
28	Martorell	PROPN	26	conj
29	por	ADP	31	case
30	la	DET	31	det
31	A-2	PROPN	24	obl
32	tendrán	VERB	17	acl
33	bonificaciones	NOUN	32	obj
34	de	ADP	35	case
35	1.000	NUM	33	nummod
36	a	ADP	38	case
37	1.500	NUM	38	nummod
38	pesetas	NOUN	35	nmod
39	.	PUNCT	14	punct