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:
A tan sólo 600 metros de altura, la nieve cubrió valles y carreteras, y acumuló hasta medio metro de grosor en la alta montaña.
Postion	Tokenization
1	A
2	tan
3	sólo
4	600
5	metros
6	de
7	altura
8	,
9	la
10	nieve
11	cubrió
12	valles
13	y
14	carreteras
15	,
16	y
17	acumuló
18	hasta
19	medio
20	metro
21	de
22	grosor
23	en
24	la
25	alta
26	montaña
27	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	5	case
2	tan	NOUN	5	advmod
3	sólo	ADV	2	fixed
4	600	NUM	5	nummod
5	metros	NOUN	11	obl
6	de	ADP	7	case
7	altura	NOUN	5	nmod
8	,	PUNCT	5	punct
9	la	DET	10	det
10	nieve	NOUN	11	nsubj
11	cubrió	VERB	0	root
12	valles	NOUN	11	obj
13	y	CCONJ	14	cc
14	carreteras	NOUN	12	conj
15	,	PUNCT	17	punct
16	y	CCONJ	17	cc
17	acumuló	VERB	11	conj
18	hasta	ADV	20	advmod
19	medio	NUM	20	nummod
20	metro	NOUN	17	obj
21	de	ADP	22	case
22	grosor	NOUN	20	nmod
23	en	ADP	26	case
24	la	DET	26	det
25	alta	ADJ	26	amod
26	montaña	NOUN	17	obl
27	.	PUNCT	11	punct