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:
"Ni gasta el dinero suficiente, ni el dinero que administra lo gasta de la manera más conveniente", insistió Fidalgo, quien también recordó que la tasa de gasto sanitario en España está todavía por debajo de la media europea.
Postion	Tokenization
1	"
2	Ni
3	gasta
4	el
5	dinero
6	suficiente
7	,
8	ni
9	el
10	dinero
11	que
12	administra
13	lo
14	gasta
15	de
16	la
17	manera
18	más
19	conveniente
20	"
21	,
22	insistió
23	Fidalgo
24	,
25	quien
26	también
27	recordó
28	que
29	la
30	tasa
31	de
32	gasto
33	sanitario
34	en
35	España
36	está
37	todavía
38	por
39	debajo
40	de
41	la
42	media
43	europea
44	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	3	punct
2	Ni	CCONJ	3	cc
3	gasta	VERB	22	ccomp
4	el	DET	5	det
5	dinero	NOUN	3	obj
6	suficiente	ADJ	5	amod
7	,	PUNCT	14	punct
8	ni	CCONJ	14	cc
9	el	DET	10	det
10	dinero	NOUN	14	iobj
11	que	PRON	12	obj
12	administra	VERB	10	acl
13	lo	PRON	14	obj
14	gasta	VERB	3	conj
15	de	ADP	17	case
16	la	DET	17	det
17	manera	NOUN	14	obl
18	más	ADV	19	advmod
19	conveniente	ADJ	17	amod
20	"	PUNCT	3	punct
21	,	PUNCT	3	punct
22	insistió	VERB	0	root
23	Fidalgo	PROPN	22	nsubj
24	,	PUNCT	27	punct
25	quien	PRON	27	nsubj
26	también	ADV	27	advmod
27	recordó	VERB	23	acl
28	que	SCONJ	42	mark
29	la	DET	30	det
30	tasa	NOUN	42	nsubj
31	de	ADP	32	case
32	gasto	NOUN	30	nmod
33	sanitario	ADJ	32	amod
34	en	ADP	35	case
35	España	PROPN	42	obl
36	está	AUX	42	cop
37	todavía	ADV	42	advmod
38	por	ADP	42	case
39	debajo	ADV	38	fixed
40	de	ADP	38	fixed
41	la	DET	42	det
42	media	NOUN	27	ccomp
43	europea	ADJ	42	amod
44	.	PUNCT	22	punct