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:
Módol aseguró que el programa socialista sobre nuevas tecnologías es el principal del partido y que recibe el nombre de "la educación, la ciencia y las nuevas tecnologías", para enfatizar la importancia que tiene educar a todos los ciudadanos en este terreno.
Postion	Tokenization
1	Módol
2	aseguró
3	que
4	el
5	programa
6	socialista
7	sobre
8	nuevas
9	tecnologías
10	es
11	el
12	principal
13	del
14	partido
15	y
16	que
17	recibe
18	el
19	nombre
20	de
21	"
22	la
23	educación
24	,
25	la
26	ciencia
27	y
28	las
29	nuevas
30	tecnologías
31	"
32	,
33	para
34	enfatizar
35	la
36	importancia
37	que
38	tiene
39	educar
40	a
41	todos
42	los
43	ciudadanos
44	en
45	este
46	terreno
47	.
Position	Tokenization	UPOS	Head	Deprel
1	Módol	PROPN	2	nsubj
2	aseguró	VERB	0	root
3	que	SCONJ	12	mark
4	el	DET	5	det
5	programa	NOUN	12	nsubj
6	socialista	ADJ	5	amod
7	sobre	ADP	9	case
8	nuevas	ADJ	9	amod
9	tecnologías	NOUN	5	nmod
10	es	AUX	12	cop
11	el	DET	12	det
12	principal	ADJ	2	ccomp
13	del	ADP	14	case
14	partido	NOUN	12	nmod
15	y	CCONJ	17	cc
16	que	SCONJ	17	mark
17	recibe	VERB	12	conj
18	el	DET	19	det
19	nombre	NOUN	17	obj
20	de	ADP	23	case
21	"	PUNCT	23	punct
22	la	DET	23	det
23	educación	NOUN	19	nmod
24	,	PUNCT	26	punct
25	la	DET	26	det
26	ciencia	NOUN	23	appos
27	y	CCONJ	30	cc
28	las	DET	30	det
29	nuevas	ADJ	30	amod
30	tecnologías	NOUN	23	conj
31	"	PUNCT	23	punct
32	,	PUNCT	34	punct
33	para	ADP	34	mark
34	enfatizar	VERB	17	advcl
35	la	DET	36	det
36	importancia	NOUN	34	obj
37	que	PRON	38	obj
38	tiene	VERB	36	acl
39	educar	VERB	38	csubj
40	a	ADP	43	case
41	todos	DET	42	det
42	los	DET	43	det
43	ciudadanos	NOUN	39	obj
44	en	ADP	46	case
45	este	DET	46	det
46	terreno	NOUN	39	obl
47	.	PUNCT	2	punct