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:
Una docena de montañeros se vieron ayer atrapados en dos aludes registrados en el monte Garmo Negro, en una zona del Pirineo de Huesca próxima a Panticosa.
Postion	Tokenization
1	Una
2	docena
3	de
4	montañeros
5	se
6	vieron
7	ayer
8	atrapados
9	en
10	dos
11	aludes
12	registrados
13	en
14	el
15	monte
16	Garmo
17	Negro
18	,
19	en
20	una
21	zona
22	del
23	Pirineo
24	de
25	Huesca
26	próxima
27	a
28	Panticosa
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Una	DET	2	det
2	docena	NOUN	4	nmod
3	de	ADP	2	case
4	montañeros	NOUN	6	nsubj
5	se	PRON	6	expl:pv
6	vieron	VERB	0	root
7	ayer	ADV	8	advmod
8	atrapados	ADJ	6	obj
9	en	ADP	11	case
10	dos	NUM	11	nummod
11	aludes	NOUN	8	obl
12	registrados	ADJ	11	amod
13	en	ADP	15	case
14	el	DET	15	det
15	monte	NOUN	12	obl
16	Garmo	PROPN	15	appos
17	Negro	PROPN	16	flat
18	,	PUNCT	21	punct
19	en	ADP	21	case
20	una	DET	21	det
21	zona	NOUN	15	nmod
22	del	ADP	23	case
23	Pirineo	PROPN	21	nmod
24	de	ADP	25	case
25	Huesca	PROPN	23	flat
26	próxima	ADJ	21	amod
27	a	ADP	28	case
28	Panticosa	PROPN	26	nmod
29	.	PUNCT	6	punct