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:
"Ha sido un triunfo de todo el equipo y el que necesitábamos para comenzar la fase final con la moral alta", destacó el entrenador de los Spurs, Gregg Popovich.
Postion	Tokenization
1	"
2	Ha
3	sido
4	un
5	triunfo
6	de
7	todo
8	el
9	equipo
10	y
11	el
12	que
13	necesitábamos
14	para
15	comenzar
16	la
17	fase
18	final
19	con
20	la
21	moral
22	alta
23	"
24	,
25	destacó
26	el
27	entrenador
28	de
29	los
30	Spurs
31	,
32	Gregg
33	Popovich
34	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	5	punct
2	Ha	AUX	5	aux
3	sido	AUX	5	cop
4	un	DET	5	det
5	triunfo	NOUN	25	ccomp
6	de	ADP	9	case
7	todo	DET	8	det
8	el	DET	9	det
9	equipo	NOUN	5	nmod
10	y	CCONJ	13	cc
11	el	DET	13	det
12	que	PRON	13	obj
13	necesitábamos	VERB	5	conj
14	para	ADP	15	mark
15	comenzar	VERB	13	advcl
16	la	DET	17	det
17	fase	NOUN	15	obj
18	final	ADJ	17	amod
19	con	ADP	21	case
20	la	DET	21	det
21	moral	NOUN	15	obl
22	alta	ADJ	21	amod
23	"	PUNCT	5	punct
24	,	PUNCT	5	punct
25	destacó	VERB	0	root
26	el	DET	27	det
27	entrenador	NOUN	25	nsubj
28	de	ADP	30	case
29	los	DET	30	det
30	Spurs	PROPN	27	nmod
31	,	PUNCT	32	punct
32	Gregg	PROPN	27	appos
33	Popovich	PROPN	32	flat
34	.	PUNCT	25	punct