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:
Tele 5 inicia hoy la campaña por las personas con enfermedad mental, dentro de su proyecto solidario 12 meses 12 causas.
Postion	Tokenization
1	Tele
2	5
3	inicia
4	hoy
5	la
6	campaña
7	por
8	las
9	personas
10	con
11	enfermedad
12	mental
13	,
14	dentro
15	de
16	su
17	proyecto
18	solidario
19	12
20	meses
21	12
22	causas
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Tele	PROPN	3	nsubj
2	5	NUM	1	nummod
3	inicia	VERB	0	root
4	hoy	ADV	3	advmod
5	la	DET	6	det
6	campaña	NOUN	3	obj
7	por	ADP	9	case
8	las	DET	9	det
9	personas	NOUN	6	nmod
10	con	ADP	11	case
11	enfermedad	NOUN	9	nmod
12	mental	ADJ	11	amod
13	,	PUNCT	14	punct
14	dentro	ADV	6	advmod
15	de	ADP	17	case
16	su	DET	17	det
17	proyecto	NOUN	14	obl
18	solidario	ADJ	17	amod
19	12	NUM	17	appos
20	meses	PROPN	19	flat
21	12	NUM	20	nummod
22	causas	PROPN	20	flat
23	.	PUNCT	3	punct