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, sin embargo, vio alterados sus planes ya que Cristóbal y De Lucas se lesionaron en el entrenamiento que la plantilla realizó ayer antes de partir hacia Grecia.
Postion	Tokenization
1	Flores
2	,
3	sin
4	embargo
5	,
6	vio
7	alterados
8	sus
9	planes
10	ya
11	que
12	Cristóbal
13	y
14	De
15	Lucas
16	se
17	lesionaron
18	en
19	el
20	entrenamiento
21	que
22	la
23	plantilla
24	realizó
25	ayer
26	antes
27	de
28	partir
29	hacia
30	Grecia
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Flores	PROPN	6	nsubj
2	,	PUNCT	3	punct
3	sin	ADP	6	advmod
4	embargo	NOUN	3	fixed
5	,	PUNCT	3	punct
6	vio	VERB	0	root
7	alterados	ADJ	6	obj
8	sus	DET	9	det
9	planes	NOUN	6	obj
10	ya	ADV	17	mark
11	que	SCONJ	10	fixed
12	Cristóbal	PROPN	17	nsubj
13	y	CCONJ	15	cc
14	De	ADP	15	case
15	Lucas	PROPN	12	conj
16	se	PRON	17	expl:pv
17	lesionaron	VERB	6	advcl
18	en	ADP	20	case
19	el	DET	20	det
20	entrenamiento	NOUN	17	obl
21	que	PRON	24	obj
22	la	DET	23	det
23	plantilla	NOUN	24	nsubj
24	realizó	VERB	20	acl
25	ayer	ADV	24	advmod
26	antes	ADV	24	advmod
27	de	ADP	28	mark
28	partir	VERB	26	advcl
29	hacia	ADP	30	case
30	Grecia	PROPN	28	obl
31	.	PUNCT	6	punct