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:
Tampoco ayudó el dispositivo de Mantenimiento y Servicios, que planeó la llegada del grueso de las brigadas de limpieza tres horas y media Después de la fiesta.
Postion	Tokenization
1	Tampoco
2	ayudó
3	el
4	dispositivo
5	de
6	Mantenimiento
7	y
8	Servicios
9	,
10	que
11	planeó
12	la
13	llegada
14	del
15	grueso
16	de
17	las
18	brigadas
19	de
20	limpieza
21	tres
22	horas
23	y
24	media
25	Después
26	de
27	la
28	fiesta
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Tampoco	ADV	2	advmod
2	ayudó	VERB	0	root
3	el	DET	4	det
4	dispositivo	NOUN	2	nsubj
5	de	ADP	6	case
6	Mantenimiento	PROPN	4	nmod
7	y	CCONJ	8	cc
8	Servicios	PROPN	6	conj
9	,	PUNCT	11	punct
10	que	PRON	11	nsubj
11	planeó	VERB	4	acl
12	la	DET	13	det
13	llegada	NOUN	11	obj
14	del	ADP	15	case
15	grueso	NOUN	13	nmod
16	de	ADP	18	case
17	las	DET	18	det
18	brigadas	NOUN	15	nmod
19	de	ADP	20	case
20	limpieza	NOUN	18	nmod
21	tres	NUM	22	nummod
22	horas	NOUN	25	obl
23	y	CCONJ	24	cc
24	media	NUM	22	conj
25	Después	ADV	13	advmod
26	de	ADP	28	case
27	la	DET	28	det
28	fiesta	NOUN	25	obl
29	.	PUNCT	2	punct