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:
Felizmente la sensatez se impuso y la tendencia es hoy la contraria: menos arsenales menos cabezas nucleares y más presupuestos para la solidaridad mundial.
Postion	Tokenization
1	Felizmente
2	la
3	sensatez
4	se
5	impuso
6	y
7	la
8	tendencia
9	es
10	hoy
11	la
12	contraria
13	:
14	menos
15	arsenales
16	menos
17	cabezas
18	nucleares
19	y
20	más
21	presupuestos
22	para
23	la
24	solidaridad
25	mundial
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Felizmente	ADV	5	advmod
2	la	DET	3	det
3	sensatez	NOUN	5	nsubj
4	se	PRON	5	expl:pv
5	impuso	VERB	0	root
6	y	CCONJ	12	cc
7	la	DET	8	det
8	tendencia	NOUN	12	nsubj
9	es	AUX	12	cop
10	hoy	ADV	12	advmod
11	la	DET	12	det
12	contraria	ADJ	5	conj
13	:	PUNCT	15	punct
14	menos	ADV	15	advmod
15	arsenales	NOUN	12	obj
16	menos	ADV	17	advmod
17	cabezas	NOUN	15	appos
18	nucleares	ADJ	17	amod
19	y	CCONJ	21	cc
20	más	ADV	21	advmod
21	presupuestos	NOUN	15	conj
22	para	ADP	24	case
23	la	DET	24	det
24	solidaridad	NOUN	21	nmod
25	mundial	ADJ	24	amod
26	.	PUNCT	5	punct