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:
"Jugadores que les están aportando mucho en su dinámica, como Makelele o Figo, y otro gran fichaje que ha sido la recuperación de Hierro, un hombre vital en la salida desde atrás con el balón".
Postion	Tokenization
1	"
2	Jugadores
3	que
4	les
5	están
6	aportando
7	mucho
8	en
9	su
10	dinámica
11	,
12	como
13	Makelele
14	o
15	Figo
16	,
17	y
18	otro
19	gran
20	fichaje
21	que
22	ha
23	sido
24	la
25	recuperación
26	de
27	Hierro
28	,
29	un
30	hombre
31	vital
32	en
33	la
34	salida
35	desde
36	atrás
37	con
38	el
39	balón
40	"
41	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Jugadores	NOUN	0	root
3	que	PRON	6	nsubj
4	les	PRON	6	obj
5	están	AUX	6	aux
6	aportando	VERB	2	acl
7	mucho	ADV	6	advmod
8	en	ADP	10	case
9	su	DET	10	det
10	dinámica	NOUN	6	obl
11	,	PUNCT	13	punct
12	como	SCONJ	13	mark
13	Makelele	PROPN	2	nmod
14	o	CCONJ	15	cc
15	Figo	PROPN	13	conj
16	,	PUNCT	20	punct
17	y	CCONJ	20	cc
18	otro	DET	20	det
19	gran	ADJ	20	amod
20	fichaje	NOUN	13	conj
21	que	PRON	25	nsubj
22	ha	AUX	25	aux
23	sido	AUX	25	cop
24	la	DET	25	det
25	recuperación	NOUN	20	acl
26	de	ADP	27	case
27	Hierro	PROPN	25	nmod
28	,	PUNCT	30	punct
29	un	DET	30	det
30	hombre	NOUN	27	appos
31	vital	ADJ	30	amod
32	en	ADP	34	case
33	la	DET	34	det
34	salida	NOUN	31	nmod
35	desde	ADP	36	case
36	atrás	ADV	34	advmod
37	con	ADP	39	case
38	el	DET	39	det
39	balón	NOUN	34	nmod
40	"	PUNCT	2	punct
41	.	PUNCT	2	punct