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 el plan participó un grupo de mujeres de Girona, pero se comprobó que no era efectivo ya que sólo funcionaba en el domicilio y era más fácil que la afectada llevara un teléfono móvil.
Postion	Tokenization
1	En
2	el
3	plan
4	participó
5	un
6	grupo
7	de
8	mujeres
9	de
10	Girona
11	,
12	pero
13	se
14	comprobó
15	que
16	no
17	era
18	efectivo
19	ya
20	que
21	sólo
22	funcionaba
23	en
24	el
25	domicilio
26	y
27	era
28	más
29	fácil
30	que
31	la
32	afectada
33	llevara
34	un
35	teléfono
36	móvil
37	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	el	DET	3	det
3	plan	NOUN	4	obj
4	participó	VERB	0	root
5	un	DET	6	det
6	grupo	NOUN	4	nsubj
7	de	ADP	8	case
8	mujeres	NOUN	6	nmod
9	de	ADP	10	case
10	Girona	PROPN	6	nmod
11	,	PUNCT	14	punct
12	pero	CCONJ	14	cc
13	se	PRON	14	expl:pass
14	comprobó	VERB	4	conj
15	que	SCONJ	18	mark
16	no	ADV	18	advmod
17	era	AUX	18	cop
18	efectivo	ADJ	14	csubj
19	ya	ADV	22	mark
20	que	SCONJ	19	fixed
21	sólo	ADV	22	advmod
22	funcionaba	VERB	18	advcl
23	en	ADP	25	case
24	el	DET	25	det
25	domicilio	NOUN	22	obl
26	y	CCONJ	29	cc
27	era	AUX	29	cop
28	más	ADV	29	advmod
29	fácil	ADJ	18	conj
30	que	SCONJ	33	mark
31	la	DET	32	det
32	afectada	NOUN	33	nsubj
33	llevara	VERB	29	csubj
34	un	DET	35	det
35	teléfono	NOUN	33	obj
36	móvil	ADJ	35	amod
37	.	PUNCT	4	punct