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:
LA MANIFESTACIÓN, celebrada en Barcelona, reunió a unas 2.500 personas, que demandan que no se incluyan en el recibo otras tasas, como la de recogida de basuras.
Postion	Tokenization
1	LA
2	MANIFESTACIÓN
3	,
4	celebrada
5	en
6	Barcelona
7	,
8	reunió
9	a
10	unas
11	2.500
12	personas
13	,
14	que
15	demandan
16	que
17	no
18	se
19	incluyan
20	en
21	el
22	recibo
23	otras
24	tasas
25	,
26	como
27	la
28	de
29	recogida
30	de
31	basuras
32	.
Position	Tokenization	UPOS	Head	Deprel
1	LA	DET	2	det
2	MANIFESTACIÓN	NOUN	8	nsubj
3	,	PUNCT	4	punct
4	celebrada	ADJ	2	amod
5	en	ADP	6	case
6	Barcelona	PROPN	4	obl
7	,	PUNCT	4	punct
8	reunió	VERB	0	root
9	a	ADP	12	case
10	unas	PRON	11	nmod
11	2.500	NUM	12	nummod
12	personas	NOUN	8	obj
13	,	PUNCT	15	punct
14	que	PRON	15	nsubj
15	demandan	VERB	12	acl
16	que	SCONJ	19	mark
17	no	ADV	19	advmod
18	se	PRON	19	expl:pass
19	incluyan	VERB	15	ccomp
20	en	ADP	22	case
21	el	DET	22	det
22	recibo	NOUN	19	obl
23	otras	DET	24	det
24	tasas	NOUN	19	nsubj
25	,	PUNCT	27	punct
26	como	SCONJ	27	mark
27	la	DET	24	det
28	de	ADP	27	case
29	recogida	NOUN	27	nmod
30	de	ADP	31	case
31	basuras	NOUN	29	nmod
32	.	PUNCT	8	punct