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:
Las campañas políticas norteamericanas se basan en una clarificación, en una precisión de lo que llamamos mensaje y en sus votantes.
Postion	Tokenization
1	Las
2	campañas
3	políticas
4	norteamericanas
5	se
6	basan
7	en
8	una
9	clarificación
10	,
11	en
12	una
13	precisión
14	de
15	lo
16	que
17	llamamos
18	mensaje
19	y
20	en
21	sus
22	votantes
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	campañas	NOUN	6	nsubj
3	políticas	ADJ	2	amod
4	norteamericanas	ADJ	2	amod
5	se	PRON	6	expl:pass
6	basan	VERB	0	root
7	en	ADP	9	case
8	una	DET	9	det
9	clarificación	NOUN	6	obj
10	,	PUNCT	13	punct
11	en	ADP	13	case
12	una	DET	13	det
13	precisión	NOUN	9	conj
14	de	ADP	17	mark
15	lo	PRON	17	det
16	que	PRON	17	obj
17	llamamos	VERB	13	acl
18	mensaje	NOUN	17	obj
19	y	CCONJ	22	cc
20	en	ADP	22	case
21	sus	DET	22	det
22	votantes	NOUN	9	conj
23	.	PUNCT	6	punct