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:
También el pleno de L'Hospitalet tiene previsto recibir en su sesión de mañana a la Federación de Asociaciones de Vecinos, que también reclama la retirada de las antenas.
Postion	Tokenization
1	También
2	el
3	pleno
4	de
5	L'Hospitalet
6	tiene
7	previsto
8	recibir
9	en
10	su
11	sesión
12	de
13	mañana
14	a
15	la
16	Federación
17	de
18	Asociaciones
19	de
20	Vecinos
21	,
22	que
23	también
24	reclama
25	la
26	retirada
27	de
28	las
29	antenas
30	.
Position	Tokenization	UPOS	Head	Deprel
1	También	ADV	6	advmod
2	el	DET	3	det
3	pleno	NOUN	6	nsubj
4	de	ADP	5	case
5	L'Hospitalet	PROPN	3	nmod
6	tiene	VERB	0	root
7	previsto	ADJ	6	iobj
8	recibir	VERB	6	xcomp
9	en	ADP	11	case
10	su	DET	11	det
11	sesión	NOUN	8	obl
12	de	ADP	13	case
13	mañana	ADV	11	advmod
14	a	ADP	16	case
15	la	DET	16	det
16	Federación	PROPN	8	obj
17	de	ADP	18	case
18	Asociaciones	PROPN	16	flat
19	de	ADP	20	case
20	Vecinos	PROPN	16	flat
21	,	PUNCT	24	punct
22	que	PRON	24	nsubj
23	también	ADV	24	advmod
24	reclama	VERB	16	acl
25	la	DET	26	det
26	retirada	NOUN	24	obj
27	de	ADP	29	case
28	las	DET	29	det
29	antenas	NOUN	26	nmod
30	.	PUNCT	6	punct