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:
Un millar de padres y niños procedentes de 30 escuelas públicas de Barcelona participaron ayer en la fiesta celebrada en el parque de la Espanya Industrial para reclamar el apoyo de la Administración a estos centros.
Postion	Tokenization
1	Un
2	millar
3	de
4	padres
5	y
6	niños
7	procedentes
8	de
9	30
10	escuelas
11	públicas
12	de
13	Barcelona
14	participaron
15	ayer
16	en
17	la
18	fiesta
19	celebrada
20	en
21	el
22	parque
23	de
24	la
25	Espanya
26	Industrial
27	para
28	reclamar
29	el
30	apoyo
31	de
32	la
33	Administración
34	a
35	estos
36	centros
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Un	DET	2	det
2	millar	NOUN	4	nmod
3	de	ADP	2	case
4	padres	NOUN	14	nsubj
5	y	CCONJ	6	cc
6	niños	NOUN	4	conj
7	procedentes	ADJ	4	amod
8	de	ADP	10	case
9	30	NUM	10	nummod
10	escuelas	NOUN	7	nmod
11	públicas	ADJ	10	amod
12	de	ADP	13	case
13	Barcelona	PROPN	10	nmod
14	participaron	VERB	0	root
15	ayer	ADV	14	advmod
16	en	ADP	18	case
17	la	DET	18	det
18	fiesta	NOUN	14	obj
19	celebrada	ADJ	18	amod
20	en	ADP	22	case
21	el	DET	22	det
22	parque	NOUN	19	obl
23	de	ADP	25	case
24	la	DET	25	det
25	Espanya	PROPN	22	nmod
26	Industrial	PROPN	25	flat
27	para	ADP	28	mark
28	reclamar	VERB	19	advcl
29	el	DET	30	det
30	apoyo	NOUN	28	obj
31	de	ADP	33	case
32	la	DET	33	det
33	Administración	PROPN	30	nmod
34	a	ADP	36	case
35	estos	DET	36	det
36	centros	NOUN	30	nmod
37	.	PUNCT	14	punct