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 presidente de Aspaym, entidad que agrupa a unos 30.000 lesionados medulares de toda España, cree que el ministerio no ha dado aún este paso por "prudencia", para evitar que otros colectivos hagan la misma demanda, lo que, a su entender, "sería un problema".
Postion	Tokenization
1	El
2	presidente
3	de
4	Aspaym
5	,
6	entidad
7	que
8	agrupa
9	a
10	unos
11	30.000
12	lesionados
13	medulares
14	de
15	toda
16	España
17	,
18	cree
19	que
20	el
21	ministerio
22	no
23	ha
24	dado
25	aún
26	este
27	paso
28	por
29	"
30	prudencia
31	"
32	,
33	para
34	evitar
35	que
36	otros
37	colectivos
38	hagan
39	la
40	misma
41	demanda
42	,
43	lo
44	que
45	,
46	a
47	su
48	entender
49	,
50	"
51	sería
52	un
53	problema
54	"
55	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	presidente	NOUN	18	nsubj
3	de	ADP	4	case
4	Aspaym	PROPN	2	nmod
5	,	PUNCT	6	punct
6	entidad	NOUN	4	appos
7	que	PRON	8	nsubj
8	agrupa	VERB	6	acl
9	a	ADP	12	case
10	unos	PRON	11	nmod
11	30.000	NUM	12	nummod
12	lesionados	NOUN	8	obj
13	medulares	ADJ	12	amod
14	de	ADP	16	case
15	toda	DET	16	det
16	España	PROPN	12	nmod
17	,	PUNCT	6	punct
18	cree	VERB	0	root
19	que	SCONJ	24	mark
20	el	DET	21	det
21	ministerio	NOUN	24	nsubj
22	no	ADV	24	advmod
23	ha	AUX	24	aux
24	dado	VERB	18	ccomp
25	aún	ADV	24	advmod
26	este	DET	27	det
27	paso	NOUN	24	obj
28	por	ADP	30	case
29	"	PUNCT	30	punct
30	prudencia	NOUN	24	obl
31	"	PUNCT	30	punct
32	,	PUNCT	34	punct
33	para	ADP	34	mark
34	evitar	VERB	24	advcl
35	que	SCONJ	38	mark
36	otros	DET	37	det
37	colectivos	NOUN	38	nsubj
38	hagan	VERB	34	ccomp
39	la	DET	41	det
40	misma	DET	39	det
41	demanda	NOUN	38	obj
42	,	PUNCT	53	punct
43	lo	PRON	53	det
44	que	PRON	53	nsubj
45	,	PUNCT	48	punct
46	a	ADP	48	mark
47	su	PRON	48	nmod
48	entender	VERB	53	advcl
49	,	PUNCT	48	punct
50	"	PUNCT	53	punct
51	sería	AUX	53	cop
52	un	DET	53	det
53	problema	NOUN	38	advcl
54	"	PUNCT	53	punct
55	.	PUNCT	18	punct