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 Federación Nacional de Asociaciones de Lesionados Medulares (Aspaym) confía en que el Ministerio de Sanidad reconsidere su posición y financie la Viagra para aquellos pacientes que tengan problemas de fertilidad.
Postion	Tokenization
1	La
2	Federación
3	Nacional
4	de
5	Asociaciones
6	de
7	Lesionados
8	Medulares
9	(
10	Aspaym
11	)
12	confía
13	en
14	que
15	el
16	Ministerio
17	de
18	Sanidad
19	reconsidere
20	su
21	posición
22	y
23	financie
24	la
25	Viagra
26	para
27	aquellos
28	pacientes
29	que
30	tengan
31	problemas
32	de
33	fertilidad
34	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	Federación	PROPN	12	nsubj
3	Nacional	PROPN	2	flat
4	de	ADP	5	case
5	Asociaciones	PROPN	2	flat
6	de	ADP	7	case
7	Lesionados	PROPN	2	flat
8	Medulares	PROPN	2	flat
9	(	PUNCT	10	punct
10	Aspaym	PROPN	2	flat
11	)	PUNCT	10	punct
12	confía	VERB	0	root
13	en	ADP	19	mark
14	que	SCONJ	19	mark
15	el	DET	16	det
16	Ministerio	PROPN	19	nsubj
17	de	ADP	18	case
18	Sanidad	PROPN	16	flat
19	reconsidere	VERB	12	ccomp
20	su	DET	21	det
21	posición	NOUN	19	obj
22	y	CCONJ	23	cc
23	financie	VERB	19	conj
24	la	DET	25	det
25	Viagra	PROPN	23	obj
26	para	ADP	28	case
27	aquellos	DET	28	det
28	pacientes	NOUN	23	obj
29	que	PRON	30	nsubj
30	tengan	VERB	28	acl
31	problemas	NOUN	30	obj
32	de	ADP	33	case
33	fertilidad	NOUN	31	nmod
34	.	PUNCT	12	punct