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:
Se ha conocido el caso de un imán que hace 12 años que vive en Catalunya y que no habla ni catalán ni castellano.
Postion	Tokenization
1	Se
2	ha
3	conocido
4	el
5	caso
6	de
7	un
8	imán
9	que
10	hace
11	12
12	años
13	que
14	vive
15	en
16	Catalunya
17	y
18	que
19	no
20	habla
21	ni
22	catalán
23	ni
24	castellano
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Se	PRON	3	expl:pass
2	ha	AUX	3	aux
3	conocido	VERB	0	root
4	el	DET	5	det
5	caso	NOUN	3	nsubj
6	de	ADP	8	case
7	un	DET	8	det
8	imán	NOUN	5	nmod
9	que	PRON	14	nsubj
10	hace	VERB	14	advcl
11	12	NUM	12	nummod
12	años	NOUN	10	obj
13	que	SCONJ	14	mark
14	vive	VERB	8	acl
15	en	ADP	16	case
16	Catalunya	PROPN	14	obl
17	y	CCONJ	20	cc
18	que	PRON	20	nsubj
19	no	ADV	20	advmod
20	habla	VERB	14	conj
21	ni	CCONJ	22	cc
22	catalán	NOUN	20	obj
23	ni	CCONJ	24	cc
24	castellano	NOUN	22	conj
25	.	PUNCT	3	punct