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:
Para recuperar "la dinámica del grupo", según palabras de Rivera, su equipo se ha concentrado hasta el próximo viernes en un hotel barcelonés.
Postion	Tokenization
1	Para
2	recuperar
3	"
4	la
5	dinámica
6	del
7	grupo
8	"
9	,
10	según
11	palabras
12	de
13	Rivera
14	,
15	su
16	equipo
17	se
18	ha
19	concentrado
20	hasta
21	el
22	próximo
23	viernes
24	en
25	un
26	hotel
27	barcelonés
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Para	ADP	2	mark
2	recuperar	VERB	19	advcl
3	"	PUNCT	5	punct
4	la	DET	5	det
5	dinámica	NOUN	2	obj
6	del	ADP	7	case
7	grupo	NOUN	5	nmod
8	"	PUNCT	5	punct
9	,	PUNCT	11	punct
10	según	ADP	11	case
11	palabras	NOUN	2	obl
12	de	ADP	13	case
13	Rivera	PROPN	11	nmod
14	,	PUNCT	2	punct
15	su	DET	16	det
16	equipo	NOUN	19	nsubj
17	se	PRON	19	expl:pv
18	ha	AUX	19	aux
19	concentrado	VERB	0	root
20	hasta	ADP	23	case
21	el	DET	23	det
22	próximo	ADJ	23	amod
23	viernes	NOUN	19	obl
24	en	ADP	26	case
25	un	DET	26	det
26	hotel	NOUN	19	obl
27	barcelonés	ADJ	26	amod
28	.	PUNCT	19	punct