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:
La Guardia Civil tuvo que rescatar a 17 montañeros y un guía que se encontraban perdidos en la zona del Alto Piornedo (Lugo) a causa del mal tiempo.
Postion	Tokenization
1	La
2	Guardia
3	Civil
4	tuvo
5	que
6	rescatar
7	a
8	17
9	montañeros
10	y
11	un
12	guía
13	que
14	se
15	encontraban
16	perdidos
17	en
18	la
19	zona
20	del
21	Alto
22	Piornedo
23	(
24	Lugo
25	)
26	a
27	causa
28	del
29	mal
30	tiempo
31	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	Guardia	PROPN	6	nsubj
3	Civil	PROPN	2	flat
4	tuvo	VERB	0	root
5	que	SCONJ	6	cc
6	rescatar	VERB	4	conj
7	a	ADP	9	case
8	17	NUM	9	nummod
9	montañeros	NOUN	6	obj
10	y	CCONJ	12	cc
11	un	DET	12	det
12	guía	NOUN	9	conj
13	que	PRON	15	nsubj
14	se	PRON	15	expl:pv
15	encontraban	VERB	9	acl
16	perdidos	ADJ	15	xcomp
17	en	ADP	19	case
18	la	DET	19	det
19	zona	NOUN	15	obl
20	del	ADP	21	case
21	Alto	PROPN	19	nmod
22	Piornedo	PROPN	21	flat
23	(	PUNCT	24	punct
24	Lugo	PROPN	21	flat
25	)	PUNCT	24	punct
26	a	ADP	30	case
27	causa	NOUN	26	fixed
28	del	ADP	26	fixed
29	mal	ADJ	30	amod
30	tiempo	NOUN	15	obl
31	.	PUNCT	4	punct