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:
En cualquier caso, la nieve es un bien codiciado, y, como quiera que las precipitaciones se están reduciendo paulatinamente, la ciencia nos ha dotado de la suficiente tecnología como para producir nieve artificial.
Postion	Tokenization
1	En
2	cualquier
3	caso
4	,
5	la
6	nieve
7	es
8	un
9	bien
10	codiciado
11	,
12	y
13	,
14	como
15	quiera
16	que
17	las
18	precipitaciones
19	se
20	están
21	reduciendo
22	paulatinamente
23	,
24	la
25	ciencia
26	nos
27	ha
28	dotado
29	de
30	la
31	suficiente
32	tecnología
33	como
34	para
35	producir
36	nieve
37	artificial
38	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	cualquier	DET	3	det
3	caso	NOUN	9	obl
4	,	PUNCT	3	punct
5	la	DET	6	det
6	nieve	NOUN	9	nsubj
7	es	AUX	9	cop
8	un	DET	9	det
9	bien	NOUN	0	root
10	codiciado	ADJ	9	amod
11	,	PUNCT	28	punct
12	y	CCONJ	28	cc
13	,	PUNCT	21	punct
14	como	SCONJ	21	mark
15	quiera	NOUN	14	fixed
16	que	SCONJ	14	fixed
17	las	DET	18	det
18	precipitaciones	NOUN	21	nsubj
19	se	PRON	21	expl:pv
20	están	AUX	21	aux
21	reduciendo	VERB	28	advcl
22	paulatinamente	ADV	21	advmod
23	,	PUNCT	21	punct
24	la	DET	25	det
25	ciencia	NOUN	28	nsubj
26	nos	PRON	28	iobj
27	ha	AUX	28	aux
28	dotado	VERB	9	conj
29	de	ADP	32	case
30	la	DET	32	det
31	suficiente	ADJ	32	amod
32	tecnología	NOUN	28	obj
33	como	SCONJ	35	mark
34	para	ADP	35	mark
35	producir	VERB	32	acl
36	nieve	NOUN	35	obj
37	artificial	ADJ	36	amod
38	.	PUNCT	9	punct