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:
Otros cuatro montañeros lograron salir por su propio pie de otra avalancha de menores dimensiones que se produjo una hora después del primer alud en la misma zona.
Postion	Tokenization
1	Otros
2	cuatro
3	montañeros
4	lograron
5	salir
6	por
7	su
8	propio
9	pie
10	de
11	otra
12	avalancha
13	de
14	menores
15	dimensiones
16	que
17	se
18	produjo
19	una
20	hora
21	después
22	del
23	primer
24	alud
25	en
26	la
27	misma
28	zona
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Otros	DET	3	det
2	cuatro	NUM	1	nummod
3	montañeros	NOUN	4	nsubj
4	lograron	VERB	0	root
5	salir	VERB	4	xcomp
6	por	ADP	9	case
7	su	DET	9	det
8	propio	DET	7	det
9	pie	NOUN	5	obl
10	de	ADP	12	case
11	otra	DET	12	det
12	avalancha	NOUN	5	obj
13	de	ADP	15	case
14	menores	ADJ	15	amod
15	dimensiones	NOUN	12	nmod
16	que	PRON	18	nsubj
17	se	PRON	18	expl:pv
18	produjo	VERB	12	acl
19	una	DET	20	det
20	hora	NOUN	21	obl
21	después	ADV	18	advmod
22	del	ADP	24	case
23	primer	ADJ	24	amod
24	alud	NOUN	21	obl
25	en	ADP	28	case
26	la	DET	28	det
27	misma	DET	26	det
28	zona	NOUN	24	nmod
29	.	PUNCT	4	punct