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 cuanto al abultado apoyo de la militancia, María Antonia Alvarez explicó que aunque el censo de afiliados del PSOE gallego es de unos 23.400, éste está "inflado", y no se puede considerar real, puesto que son unos 10.000 los militantes que realmente participan en las asambleas y los procesos de elección.
Postion	Tokenization
1	En
2	cuanto
3	al
4	abultado
5	apoyo
6	de
7	la
8	militancia
9	,
10	María
11	Antonia
12	Alvarez
13	explicó
14	que
15	aunque
16	el
17	censo
18	de
19	afiliados
20	del
21	PSOE
22	gallego
23	es
24	de
25	unos
26	23.400
27	,
28	éste
29	está
30	"
31	inflado
32	"
33	,
34	y
35	no
36	se
37	puede
38	considerar
39	real
40	,
41	puesto
42	que
43	son
44	unos
45	10.000
46	los
47	militantes
48	que
49	realmente
50	participan
51	en
52	las
53	asambleas
54	y
55	los
56	procesos
57	de
58	elección
59	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	5	case
2	cuanto	NOUN	1	fixed
3	al	ADP	1	fixed
4	abultado	ADJ	5	amod
5	apoyo	NOUN	13	obl
6	de	ADP	8	case
7	la	DET	8	det
8	militancia	NOUN	5	nmod
9	,	PUNCT	5	punct
10	María	PROPN	13	nsubj
11	Antonia	PROPN	10	flat
12	Alvarez	PROPN	10	flat
13	explicó	VERB	0	root
14	que	SCONJ	26	mark
15	aunque	SCONJ	26	mark
16	el	DET	17	det
17	censo	NOUN	26	nsubj
18	de	ADP	19	case
19	afiliados	NOUN	17	nmod
20	del	ADP	21	case
21	PSOE	PROPN	17	nmod
22	gallego	ADJ	21	amod
23	es	AUX	26	cop
24	de	ADP	26	case
25	unos	DET	26	det
26	23.400	NUM	13	ccomp
27	,	PUNCT	26	punct
28	éste	PRON	31	nsubj
29	está	AUX	31	cop
30	"	PUNCT	31	punct
31	inflado	ADJ	26	advcl
32	"	PUNCT	31	punct
33	,	PUNCT	38	punct
34	y	CCONJ	38	cc
35	no	ADV	38	advmod
36	se	PRON	38	expl:pass
37	puede	AUX	38	aux
38	considerar	VERB	31	conj
39	real	ADJ	38	obj
40	,	PUNCT	45	punct
41	puesto	NOUN	45	mark
42	que	SCONJ	41	fixed
43	son	AUX	45	cop
44	unos	DET	45	det
45	10.000	NUM	38	advcl
46	los	DET	47	det
47	militantes	NOUN	45	nsubj
48	que	PRON	50	nsubj
49	realmente	ADV	50	advmod
50	participan	VERB	47	acl
51	en	ADP	53	case
52	las	DET	53	det
53	asambleas	NOUN	50	obj
54	y	CCONJ	56	cc
55	los	DET	56	det
56	procesos	NOUN	53	conj
57	de	ADP	58	case
58	elección	NOUN	56	nmod
59	.	PUNCT	13	punct