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:
Lo más suave que se puede decir sobre el desenlace del ruidoso debate sobre las pensiones mínimas es que ha sido el parto de los montes.
Postion	Tokenization
1	Lo
2	más
3	suave
4	que
5	se
6	puede
7	decir
8	sobre
9	el
10	desenlace
11	del
12	ruidoso
13	debate
14	sobre
15	las
16	pensiones
17	mínimas
18	es
19	que
20	ha
21	sido
22	el
23	parto
24	de
25	los
26	montes
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Lo	PRON	7	det
2	más	ADV	3	advmod
3	suave	ADJ	7	amod
4	que	PRON	7	nsubj
5	se	PRON	7	expl:pass
6	puede	AUX	7	aux
7	decir	VERB	23	csubj
8	sobre	ADP	10	case
9	el	DET	10	det
10	desenlace	NOUN	7	obl
11	del	ADP	13	case
12	ruidoso	ADJ	13	amod
13	debate	NOUN	10	nmod
14	sobre	ADP	16	case
15	las	DET	16	det
16	pensiones	NOUN	13	nmod
17	mínimas	ADJ	16	amod
18	es	AUX	23	cop
19	que	SCONJ	23	mark
20	ha	AUX	23	aux
21	sido	AUX	23	cop
22	el	DET	23	det
23	parto	NOUN	0	root
24	de	ADP	26	case
25	los	DET	26	det
26	montes	NOUN	23	nmod
27	.	PUNCT	23	punct