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 convenio prevé una inversión de 24,1 millones de euros (4.010 de pesetas) destinados a un nuevo puente sobre el río Segre, el cubrimiento de las vías, la creación de un parque urbano al final de la avenida de Prat de la Riba y la urbanización de todo el entorno de la estación.
Postion	Tokenization
1	El
2	convenio
3	prevé
4	una
5	inversión
6	de
7	24,1
8	millones
9	de
10	euros
11	(
12	4.010
13	de
14	pesetas
15	)
16	destinados
17	a
18	un
19	nuevo
20	puente
21	sobre
22	el
23	río
24	Segre
25	,
26	el
27	cubrimiento
28	de
29	las
30	vías
31	,
32	la
33	creación
34	de
35	un
36	parque
37	urbano
38	al
39	final
40	de
41	la
42	avenida
43	de
44	Prat
45	de
46	la
47	Riba
48	y
49	la
50	urbanización
51	de
52	todo
53	el
54	entorno
55	de
56	la
57	estación
58	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	convenio	NOUN	3	nsubj
3	prevé	VERB	0	root
4	una	DET	5	det
5	inversión	NOUN	3	obj
6	de	ADP	8	case
7	24,1	NUM	8	nummod
8	millones	NOUN	5	nmod
9	de	ADP	10	case
10	euros	NOUN	8	nmod
11	(	PUNCT	12	punct
12	4.010	NUM	8	appos
13	de	ADP	14	case
14	pesetas	NOUN	12	nmod
15	)	PUNCT	12	punct
16	destinados	ADJ	8	amod
17	a	ADP	20	case
18	un	DET	20	det
19	nuevo	ADJ	20	amod
20	puente	NOUN	16	obj
21	sobre	ADP	23	case
22	el	DET	23	det
23	río	NOUN	20	nmod
24	Segre	PROPN	23	appos
25	,	PUNCT	27	punct
26	el	DET	27	det
27	cubrimiento	NOUN	20	appos
28	de	ADP	30	case
29	las	DET	30	det
30	vías	NOUN	27	nmod
31	,	PUNCT	33	punct
32	la	DET	33	det
33	creación	NOUN	20	appos
34	de	ADP	36	case
35	un	DET	36	det
36	parque	NOUN	33	nmod
37	urbano	ADJ	36	amod
38	al	ADP	39	case
39	final	NOUN	33	nmod
40	de	ADP	42	case
41	la	DET	42	det
42	avenida	NOUN	39	nmod
43	de	ADP	44	case
44	Prat	PROPN	42	nmod
45	de	ADP	47	case
46	la	DET	47	det
47	Riba	PROPN	44	flat
48	y	CCONJ	50	cc
49	la	DET	50	det
50	urbanización	NOUN	20	conj
51	de	ADP	54	case
52	todo	DET	53	det
53	el	DET	54	det
54	entorno	NOUN	50	nmod
55	de	ADP	57	case
56	la	DET	57	det
57	estación	NOUN	54	nmod
58	.	PUNCT	3	punct