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:
El conjunto malagueño, que llegó hoy a Santander, viajó con las bajas de la extremo Ana Belén López y de la pivote Alma Valiente, mientras que la portera Diana Serrano y la pivote Ana Isabel Forner, ambas con gripe, son dudas para el partido.
Postion	Tokenization
1	El
2	conjunto
3	malagueño
4	,
5	que
6	llegó
7	hoy
8	a
9	Santander
10	,
11	viajó
12	con
13	las
14	bajas
15	de
16	la
17	extremo
18	Ana
19	Belén
20	López
21	y
22	de
23	la
24	pivote
25	Alma
26	Valiente
27	,
28	mientras
29	que
30	la
31	portera
32	Diana
33	Serrano
34	y
35	la
36	pivote
37	Ana
38	Isabel
39	Forner
40	,
41	ambas
42	con
43	gripe
44	,
45	son
46	dudas
47	para
48	el
49	partido
50	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	conjunto	NOUN	11	nsubj
3	malagueño	ADJ	2	amod
4	,	PUNCT	6	punct
5	que	PRON	6	nsubj
6	llegó	VERB	2	acl
7	hoy	ADV	6	advmod
8	a	ADP	9	case
9	Santander	PROPN	6	obl
10	,	PUNCT	6	punct
11	viajó	VERB	28	parataxis
12	con	ADP	14	case
13	las	DET	14	det
14	bajas	NOUN	11	obl
15	de	ADP	17	case
16	la	DET	17	det
17	extremo	NOUN	14	nmod
18	Ana	PROPN	17	appos
19	Belén	PROPN	18	flat
20	López	PROPN	18	flat
21	y	CCONJ	24	cc
22	de	ADP	24	case
23	la	DET	24	det
24	pivote	NOUN	17	conj
25	Alma	PROPN	24	appos
26	Valiente	PROPN	25	flat
27	,	PUNCT	28	punct
28	mientras	CCONJ	0	root
29	que	SCONJ	28	fixed
30	la	DET	31	det
31	portera	NOUN	46	nsubj
32	Diana	PROPN	31	appos
33	Serrano	PROPN	32	flat
34	y	CCONJ	36	cc
35	la	DET	36	det
36	pivote	NOUN	31	conj
37	Ana	PROPN	36	appos
38	Isabel	PROPN	37	flat
39	Forner	PROPN	37	flat
40	,	PUNCT	41	punct
41	ambas	NUM	31	appos
42	con	ADP	43	case
43	gripe	NOUN	41	nmod
44	,	PUNCT	41	punct
45	son	AUX	46	cop
46	dudas	NOUN	28	parataxis
47	para	ADP	49	case
48	el	DET	49	det
49	partido	NOUN	46	nmod
50	.	PUNCT	28	punct