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:
Consigues algo que es para ti, pero a la vez lo estás compartiendo con un equipo, con los compañeros y con los técnicos, y también es un premio para ellos ", aseguró.
Postion	Tokenization
1	Consigues
2	algo
3	que
4	es
5	para
6	ti
7	,
8	pero
9	a
10	la
11	vez
12	lo
13	estás
14	compartiendo
15	con
16	un
17	equipo
18	,
19	con
20	los
21	compañeros
22	y
23	con
24	los
25	técnicos
26	,
27	y
28	también
29	es
30	un
31	premio
32	para
33	ellos
34	"
35	,
36	aseguró
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Consigues	VERB	36	ccomp
2	algo	PRON	1	obj
3	que	PRON	6	nsubj
4	es	AUX	6	cop
5	para	ADP	6	case
6	ti	PRON	2	acl
7	,	PUNCT	14	punct
8	pero	CCONJ	14	cc
9	a	ADP	14	advmod
10	la	DET	9	fixed
11	vez	NOUN	9	fixed
12	lo	PRON	14	obj
13	estás	AUX	14	aux
14	compartiendo	VERB	1	conj
15	con	ADP	17	case
16	un	DET	17	det
17	equipo	NOUN	14	obl
18	,	PUNCT	21	punct
19	con	ADP	21	case
20	los	DET	21	det
21	compañeros	NOUN	17	nmod
22	y	CCONJ	25	cc
23	con	ADP	25	case
24	los	DET	25	det
25	técnicos	NOUN	21	conj
26	,	PUNCT	21	punct
27	y	CCONJ	31	cc
28	también	ADV	31	advmod
29	es	AUX	31	cop
30	un	DET	31	det
31	premio	NOUN	14	conj
32	para	ADP	33	case
33	ellos	PRON	31	nmod
34	"	PUNCT	1	punct
35	,	PUNCT	1	punct
36	aseguró	VERB	0	root
37	.	PUNCT	36	punct