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:
El pasado día 24, más de 350 personas se manifestaron en Sabadell para denunciar la proliferanción de grupos de jóvenes de ideología fascista que adoptan actitudes intolerantes.
Postion	Tokenization
1	El
2	pasado
3	día
4	24
5	,
6	más
7	de
8	350
9	personas
10	se
11	manifestaron
12	en
13	Sabadell
14	para
15	denunciar
16	la
17	proliferanción
18	de
19	grupos
20	de
21	jóvenes
22	de
23	ideología
24	fascista
25	que
26	adoptan
27	actitudes
28	intolerantes
29	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	pasado	ADJ	3	amod
3	día	NOUN	11	obl
4	24	NUM	3	compound
5	,	PUNCT	3	punct
6	más	ADV	9	advmod
7	de	ADP	6	case
8	350	NUM	6	nummod
9	personas	NOUN	11	nsubj
10	se	PRON	11	expl:pv
11	manifestaron	VERB	0	root
12	en	ADP	13	case
13	Sabadell	PROPN	11	obl
14	para	ADP	15	mark
15	denunciar	VERB	11	advcl
16	la	DET	17	det
17	proliferanción	NOUN	15	obj
18	de	ADP	19	case
19	grupos	NOUN	17	nmod
20	de	ADP	21	case
21	jóvenes	NOUN	19	nmod
22	de	ADP	23	case
23	ideología	NOUN	21	nmod
24	fascista	ADJ	23	amod
25	que	PRON	26	nsubj
26	adoptan	VERB	21	acl
27	actitudes	NOUN	26	obj
28	intolerantes	ADJ	27	amod
29	.	PUNCT	11	punct