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:
Flores ha desplazado a los 18 jugadores que tiene disponibles, entre los que no están los internacionales Galca, Pochettino, Tamudo y Toni Velamazán.
Postion	Tokenization
1	Flores
2	ha
3	desplazado
4	a
5	los
6	18
7	jugadores
8	que
9	tiene
10	disponibles
11	,
12	entre
13	los
14	que
15	no
16	están
17	los
18	internacionales
19	Galca
20	,
21	Pochettino
22	,
23	Tamudo
24	y
25	Toni
26	Velamazán
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Flores	PROPN	3	nsubj
2	ha	AUX	3	aux
3	desplazado	VERB	0	root
4	a	ADP	7	case
5	los	DET	6	det
6	18	NUM	7	nummod
7	jugadores	NOUN	3	obj
8	que	PRON	9	obj
9	tiene	VERB	7	acl
10	disponibles	ADJ	9	obj
11	,	PUNCT	16	punct
12	entre	ADP	14	case
13	los	DET	14	det
14	que	PRON	16	obl
15	no	ADV	16	advmod
16	están	VERB	7	acl
17	los	DET	18	det
18	internacionales	ADJ	16	nsubj
19	Galca	PROPN	18	obj
20	,	PUNCT	21	punct
21	Pochettino	PROPN	19	conj
22	,	PUNCT	23	punct
23	Tamudo	PROPN	19	conj
24	y	CCONJ	25	cc
25	Toni	PROPN	19	conj
26	Velamazán	PROPN	25	flat
27	.	PUNCT	3	punct