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:
Pero el fenómeno, aunque menor, no ha dejado de crecer en los últimos años y su tratamiento, opina, requerirá más medidas que los parches de urgencia.
Postion	Tokenization
1	Pero
2	el
3	fenómeno
4	,
5	aunque
6	menor
7	,
8	no
9	ha
10	dejado
11	de
12	crecer
13	en
14	los
15	últimos
16	años
17	y
18	su
19	tratamiento
20	,
21	opina
22	,
23	requerirá
24	más
25	medidas
26	que
27	los
28	parches
29	de
30	urgencia
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Pero	CCONJ	10	advmod
2	el	DET	3	det
3	fenómeno	NOUN	10	nsubj
4	,	PUNCT	6	punct
5	aunque	SCONJ	6	mark
6	menor	ADJ	10	advmod
7	,	PUNCT	6	punct
8	no	ADV	10	advmod
9	ha	AUX	10	aux
10	dejado	VERB	0	root
11	de	ADP	12	mark
12	crecer	VERB	10	xcomp
13	en	ADP	16	case
14	los	DET	16	det
15	últimos	ADJ	16	amod
16	años	NOUN	10	obl
17	y	CCONJ	23	cc
18	su	DET	19	det
19	tratamiento	NOUN	23	nsubj
20	,	PUNCT	21	punct
21	opina	VERB	23	parataxis
22	,	PUNCT	21	punct
23	requerirá	VERB	12	conj
24	más	ADV	25	advmod
25	medidas	NOUN	23	obj
26	que	SCONJ	28	mark
27	los	DET	28	det
28	parches	NOUN	25	nmod
29	de	ADP	30	case
30	urgencia	NOUN	28	nmod
31	.	PUNCT	10	punct