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:
El conseller Guàrdia comparó ayer el motín con "un terremoto, y puede tener - - dijo - - réplicas en otros puntos, pero de menor intensidad".
Postion	Tokenization
1	El
2	conseller
3	Guàrdia
4	comparó
5	ayer
6	el
7	motín
8	con
9	"
10	un
11	terremoto
12	,
13	y
14	puede
15	tener
16	-
17	-
18	dijo
19	-
20	-
21	réplicas
22	en
23	otros
24	puntos
25	,
26	pero
27	de
28	menor
29	intensidad
30	"
31	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	conseller	NOUN	4	nsubj
3	Guàrdia	PROPN	2	appos
4	comparó	VERB	0	root
5	ayer	ADV	4	advmod
6	el	DET	7	det
7	motín	NOUN	4	obj
8	con	ADP	11	case
9	"	PUNCT	11	punct
10	un	DET	11	det
11	terremoto	NOUN	4	obj
12	,	PUNCT	15	punct
13	y	CCONJ	15	cc
14	puede	AUX	15	aux
15	tener	VERB	4	conj
16	-	PUNCT	18	punct
17	-	PUNCT	18	punct
18	dijo	VERB	15	parataxis
19	-	PUNCT	18	punct
20	-	PUNCT	18	punct
21	réplicas	NOUN	15	obj
22	en	ADP	24	case
23	otros	DET	24	det
24	puntos	NOUN	15	obl
25	,	PUNCT	29	punct
26	pero	CCONJ	29	cc
27	de	ADP	29	case
28	menor	ADJ	29	amod
29	intensidad	NOUN	15	conj
30	"	PUNCT	4	punct
31	.	PUNCT	4	punct