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 importe total de las obras, que suma expropiaciones, servicios y supresión de barreras arquitectónicas en la estación de Horta, asciende a más de 23.000 millones de pesetas.
Postion	Tokenization
1	El
2	importe
3	total
4	de
5	las
6	obras
7	,
8	que
9	suma
10	expropiaciones
11	,
12	servicios
13	y
14	supresión
15	de
16	barreras
17	arquitectónicas
18	en
19	la
20	estación
21	de
22	Horta
23	,
24	asciende
25	a
26	más
27	de
28	23.000
29	millones
30	de
31	pesetas
32	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	importe	NOUN	24	nsubj
3	total	ADJ	2	amod
4	de	ADP	6	case
5	las	DET	6	det
6	obras	NOUN	2	nmod
7	,	PUNCT	9	punct
8	que	PRON	9	nsubj
9	suma	VERB	2	acl
10	expropiaciones	NOUN	9	obj
11	,	PUNCT	12	punct
12	servicios	NOUN	10	conj
13	y	CCONJ	14	cc
14	supresión	NOUN	10	conj
15	de	ADP	16	case
16	barreras	NOUN	14	nmod
17	arquitectónicas	ADJ	16	amod
18	en	ADP	20	case
19	la	DET	20	det
20	estación	NOUN	14	nmod
21	de	ADP	22	case
22	Horta	PROPN	20	nmod
23	,	PUNCT	9	punct
24	asciende	VERB	0	root
25	a	ADP	29	case
26	más	ADV	29	advmod
27	de	ADP	26	case
28	23.000	NUM	26	nummod
29	millones	NOUN	24	obj
30	de	ADP	31	case
31	pesetas	NOUN	29	nmod
32	.	PUNCT	24	punct