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:
Junio ha sido el segundo mes, después de la caída del 0,5 por ciento de marzo, en el que se registra una evolución negativa en términos mensuales este año.
Postion	Tokenization
1	Junio
2	ha
3	sido
4	el
5	segundo
6	mes
7	,
8	después
9	de
10	la
11	caída
12	del
13	0,5
14	por
15	ciento
16	de
17	marzo
18	,
19	en
20	el
21	que
22	se
23	registra
24	una
25	evolución
26	negativa
27	en
28	términos
29	mensuales
30	este
31	año
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Junio	NOUN	6	nsubj
2	ha	AUX	6	aux
3	sido	AUX	6	cop
4	el	DET	6	det
5	segundo	ADJ	6	amod
6	mes	NOUN	0	root
7	,	PUNCT	8	punct
8	después	ADV	6	advmod
9	de	ADP	11	case
10	la	DET	11	det
11	caída	NOUN	8	obl
12	del	ADP	13	case
13	0,5	NUM	11	nummod
14	por	ADP	15	case
15	ciento	NUM	13	compound
16	de	ADP	17	case
17	marzo	NOUN	11	nmod
18	,	PUNCT	8	punct
19	en	ADP	21	case
20	el	DET	21	det
21	que	PRON	23	obl
22	se	PRON	23	expl:pass
23	registra	VERB	6	advcl
24	una	DET	25	det
25	evolución	NOUN	23	nsubj
26	negativa	ADJ	25	amod
27	en	ADP	28	case
28	términos	NOUN	25	nmod
29	mensuales	ADJ	28	amod
30	este	DET	31	det
31	año	NOUN	23	obl
32	.	PUNCT	6	punct