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:
Es una actitud que contrasta con la de los marroquís que han aprendido, en poco tiempo, un castellano básico, y yo conozco alguno que habla un catalán muy correcto.
Postion	Tokenization
1	Es
2	una
3	actitud
4	que
5	contrasta
6	con
7	la
8	de
9	los
10	marroquís
11	que
12	han
13	aprendido
14	,
15	en
16	poco
17	tiempo
18	,
19	un
20	castellano
21	básico
22	,
23	y
24	yo
25	conozco
26	alguno
27	que
28	habla
29	un
30	catalán
31	muy
32	correcto
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Es	AUX	3	cop
2	una	DET	3	det
3	actitud	NOUN	0	root
4	que	PRON	5	nsubj
5	contrasta	VERB	3	acl
6	con	ADP	7	case
7	la	DET	5	det
8	de	ADP	7	case
9	los	DET	10	det
10	marroquís	NOUN	7	obj
11	que	PRON	13	nsubj
12	han	AUX	13	aux
13	aprendido	VERB	10	acl
14	,	PUNCT	17	punct
15	en	ADP	17	case
16	poco	PRON	17	nmod
17	tiempo	NOUN	13	obl
18	,	PUNCT	17	punct
19	un	DET	20	det
20	castellano	NOUN	13	obj
21	básico	ADJ	20	amod
22	,	PUNCT	25	punct
23	y	CCONJ	25	cc
24	yo	PRON	25	nsubj
25	conozco	VERB	3	conj
26	alguno	PRON	25	obj
27	que	PRON	28	nsubj
28	habla	VERB	26	acl
29	un	DET	30	det
30	catalán	NOUN	28	obj
31	muy	ADV	32	advmod
32	correcto	ADJ	30	amod
33	.	PUNCT	3	punct