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:
Catalunya es un país pequeño como Suiza y puede ir igual de bien sin contratos oficiales con amigos, conocidos y saludados, como diría el escéptico Josep Pla.
Postion	Tokenization
1	Catalunya
2	es
3	un
4	país
5	pequeño
6	como
7	Suiza
8	y
9	puede
10	ir
11	igual
12	de
13	bien
14	sin
15	contratos
16	oficiales
17	con
18	amigos
19	,
20	conocidos
21	y
22	saludados
23	,
24	como
25	diría
26	el
27	escéptico
28	Josep
29	Pla
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Catalunya	PROPN	4	nsubj
2	es	AUX	4	cop
3	un	DET	4	det
4	país	NOUN	0	root
5	pequeño	ADJ	4	amod
6	como	SCONJ	7	mark
7	Suiza	PROPN	4	nmod
8	y	CCONJ	10	cc
9	puede	AUX	10	aux
10	ir	VERB	4	conj
11	igual	ADV	10	advmod
12	de	ADP	13	case
13	bien	ADV	11	advmod
14	sin	ADP	15	case
15	contratos	NOUN	10	obl
16	oficiales	ADJ	15	amod
17	con	ADP	18	case
18	amigos	NOUN	15	nmod
19	,	PUNCT	20	punct
20	conocidos	NOUN	18	conj
21	y	CCONJ	22	cc
22	saludados	ADJ	18	conj
23	,	PUNCT	25	punct
24	como	SCONJ	25	mark
25	diría	VERB	18	acl
26	el	DET	27	det
27	escéptico	NOUN	25	nsubj
28	Josep	PROPN	27	appos
29	Pla	PROPN	28	flat
30	.	PUNCT	4	punct