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:
Algunas zonas de Estados Unidos registran nevadas récord, como las acaecidas en Monte Rainer (Washington) en 1971 y 1972, años en los que se formaron hasta 31 metros de nieve.
Postion	Tokenization
1	Algunas
2	zonas
3	de
4	Estados
5	Unidos
6	registran
7	nevadas
8	récord
9	,
10	como
11	las
12	acaecidas
13	en
14	Monte
15	Rainer
16	(
17	Washington
18	)
19	en
20	1971
21	y
22	1972
23	,
24	años
25	en
26	los
27	que
28	se
29	formaron
30	hasta
31	31
32	metros
33	de
34	nieve
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Algunas	DET	2	det
2	zonas	NOUN	6	nsubj
3	de	ADP	4	case
4	Estados	PROPN	2	nmod
5	Unidos	PROPN	4	flat
6	registran	VERB	0	root
7	nevadas	NOUN	6	obj
8	récord	ADJ	7	amod
9	,	PUNCT	12	punct
10	como	SCONJ	12	mark
11	las	DET	12	det
12	acaecidas	ADJ	7	amod
13	en	ADP	14	case
14	Monte	PROPN	12	obl
15	Rainer	PROPN	14	flat
16	(	PUNCT	17	punct
17	Washington	PROPN	14	flat
18	)	PUNCT	17	punct
19	en	ADP	20	case
20	1971	NOUN	12	obl
21	y	CCONJ	22	cc
22	1972	NOUN	20	conj
23	,	PUNCT	24	punct
24	años	NOUN	20	appos
25	en	ADP	27	case
26	los	DET	27	det
27	que	PRON	29	obl
28	se	PRON	29	expl:pv
29	formaron	VERB	24	acl
30	hasta	ADV	32	advmod
31	31	NUM	32	nummod
32	metros	NOUN	29	nsubj
33	de	ADP	34	case
34	nieve	NOUN	32	nmod
35	.	PUNCT	6	punct