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:
Añade Rafael Ribó, antes ecosocialista y ahora un eco socialista: "sigue con una línea de confianza en círculos reducidos y cara a los poderosos".
Postion	Tokenization
1	Añade
2	Rafael
3	Ribó
4	,
5	antes
6	ecosocialista
7	y
8	ahora
9	un
10	eco
11	socialista
12	:
13	"
14	sigue
15	con
16	una
17	línea
18	de
19	confianza
20	en
21	círculos
22	reducidos
23	y
24	cara
25	a
26	los
27	poderosos
28	"
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Añade	VERB	0	root
2	Rafael	PROPN	1	nsubj
3	Ribó	PROPN	2	flat
4	,	PUNCT	6	punct
5	antes	ADV	6	advmod
6	ecosocialista	NOUN	2	appos
7	y	CCONJ	10	cc
8	ahora	ADV	10	advmod
9	un	DET	10	det
10	eco	NOUN	6	conj
11	socialista	ADJ	10	amod
12	:	PUNCT	14	punct
13	"	PUNCT	14	punct
14	sigue	VERB	1	ccomp
15	con	ADP	17	case
16	una	DET	17	det
17	línea	NOUN	14	obj
18	de	ADP	19	case
19	confianza	NOUN	17	nmod
20	en	ADP	21	case
21	círculos	NOUN	19	nmod
22	reducidos	ADJ	21	amod
23	y	CCONJ	24	cc
24	cara	NOUN	19	conj
25	a	ADP	27	case
26	los	DET	27	det
27	poderosos	NOUN	24	nmod
28	"	PUNCT	14	punct
29	.	PUNCT	1	punct