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:
En este sentido parece que cuando hacen mención al hecho se les olvida añadir la palabra virtuales, porque esto es lo que son los nuevos afiliados, virtuales y no reales, ya que el Gobierno se está limitando a dar número de afiliación a los jóvenes que cumplan 16 años, trabajen o no, lo que lógicamente infla y desvirtúa las estadísticas con intenciones electoralistas.
Postion	Tokenization
1	En
2	este
3	sentido
4	parece
5	que
6	cuando
7	hacen
8	mención
9	al
10	hecho
11	se
12	les
13	olvida
14	añadir
15	la
16	palabra
17	virtuales
18	,
19	porque
20	esto
21	es
22	lo
23	que
24	son
25	los
26	nuevos
27	afiliados
28	,
29	virtuales
30	y
31	no
32	reales
33	,
34	ya
35	que
36	el
37	Gobierno
38	se
39	está
40	limitando
41	a
42	dar
43	número
44	de
45	afiliación
46	a
47	los
48	jóvenes
49	que
50	cumplan
51	16
52	años
53	,
54	trabajen
55	o
56	no
57	,
58	lo
59	que
60	lógicamente
61	infla
62	y
63	desvirtúa
64	las
65	estadísticas
66	con
67	intenciones
68	electoralistas
69	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	este	DET	3	det
3	sentido	NOUN	4	obl
4	parece	VERB	0	root
5	que	SCONJ	13	mark
6	cuando	SCONJ	7	mark
7	hacen	VERB	13	advcl
8	mención	NOUN	7	compound
9	al	ADP	10	case
10	hecho	NOUN	7	obj
11	se	PRON	13	expl:pass
12	les	PRON	13	obj
13	olvida	VERB	4	ccomp
14	añadir	VERB	13	csubj
15	la	DET	16	det
16	palabra	NOUN	14	obj
17	virtuales	NOUN	16	appos
18	,	PUNCT	21	punct
19	porque	SCONJ	21	mark
20	esto	PRON	21	nsubj
21	es	AUX	13	advcl
22	lo	PRON	27	det
23	que	PRON	27	nsubj
24	son	AUX	27	cop
25	los	DET	27	det
26	nuevos	ADJ	27	amod
27	afiliados	NOUN	21	ccomp
28	,	PUNCT	29	punct
29	virtuales	ADJ	27	amod
30	y	CCONJ	32	cc
31	no	ADV	32	advmod
32	reales	ADJ	29	conj
33	,	PUNCT	29	punct
34	ya	ADV	40	mark
35	que	SCONJ	34	fixed
36	el	DET	37	det
37	Gobierno	PROPN	40	nsubj
38	se	PRON	40	expl:pv
39	está	AUX	40	aux
40	limitando	VERB	13	advcl
41	a	ADP	42	mark
42	dar	VERB	40	xcomp
43	número	NOUN	42	obj
44	de	ADP	45	case
45	afiliación	NOUN	43	nmod
46	a	ADP	48	case
47	los	DET	48	det
48	jóvenes	NOUN	42	obj
49	que	PRON	50	nsubj
50	cumplan	VERB	48	acl
51	16	NUM	52	nummod
52	años	NOUN	50	obj
53	,	PUNCT	54	punct
54	trabajen	VERB	50	parataxis
55	o	CCONJ	56	cc
56	no	ADV	54	conj
57	,	PUNCT	54	punct
58	lo	PRON	61	det
59	que	PRON	61	nsubj
60	lógicamente	ADV	61	advmod
61	infla	VERB	13	advcl
62	y	CCONJ	63	cc
63	desvirtúa	VERB	61	conj
64	las	DET	65	det
65	estadísticas	NOUN	61	obj
66	con	ADP	67	case
67	intenciones	NOUN	61	obl
68	electoralistas	ADJ	67	amod
69	.	PUNCT	4	punct