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:
Creo que los periodistas catalanes han de esforzarse en profundizar en el papel que les corresponde en una democracia avanzada con unos gobiernos perfectamente estabilizados.
Postion	Tokenization
1	Creo
2	que
3	los
4	periodistas
5	catalanes
6	han
7	de
8	esforzarse
9	esforzar
10	se
11	en
12	profundizar
13	en
14	el
15	papel
16	que
17	les
18	corresponde
19	en
20	una
21	democracia
22	avanzada
23	con
24	unos
25	gobiernos
26	perfectamente
27	estabilizados
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Creo	VERB	0	root
2	que	SCONJ	8	mark
3	los	DET	4	det
4	periodistas	NOUN	8	nsubj
5	catalanes	ADJ	4	amod
6	han	AUX	8	aux
7	de	ADP	8	mark
8	esforzarse	_	None	_
9	esforzar	VERB	1	xcomp
10	se	PRON	8	expl:pv
11	en	ADP	11	mark
12	profundizar	VERB	8	xcomp
13	en	ADP	14	case
14	el	DET	14	det
15	papel	NOUN	11	obj
16	que	PRON	17	nsubj
17	les	PRON	17	obj
18	corresponde	VERB	14	acl
19	en	ADP	20	case
20	una	DET	20	det
21	democracia	NOUN	17	obl
22	avanzada	ADJ	20	amod
23	con	ADP	24	case
24	unos	DET	24	det
25	gobiernos	NOUN	20	nmod
26	perfectamente	ADV	26	advmod
27	estabilizados	ADJ	24	amod
28	.	PUNCT	1	punct