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:
"Este premio, que me da una inyección de energía para seguir, me reconcilia con un festival con el que he tenido una relación de amor y odio".
Postion	Tokenization
1	"
2	Este
3	premio
4	,
5	que
6	me
7	da
8	una
9	inyección
10	de
11	energía
12	para
13	seguir
14	,
15	me
16	reconcilia
17	con
18	un
19	festival
20	con
21	el
22	que
23	he
24	tenido
25	una
26	relación
27	de
28	amor
29	y
30	odio
31	"
32	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	16	punct
2	Este	DET	3	det
3	premio	NOUN	16	nsubj
4	,	PUNCT	7	punct
5	que	PRON	7	nsubj
6	me	PRON	7	iobj
7	da	VERB	3	acl
8	una	DET	9	det
9	inyección	NOUN	7	obj
10	de	ADP	11	case
11	energía	NOUN	9	nmod
12	para	ADP	13	mark
13	seguir	VERB	9	acl
14	,	PUNCT	7	punct
15	me	PRON	16	obj
16	reconcilia	VERB	0	root
17	con	ADP	19	case
18	un	DET	19	det
19	festival	NOUN	16	obj
20	con	ADP	22	case
21	el	DET	22	det
22	que	PRON	24	obl
23	he	AUX	24	aux
24	tenido	VERB	19	acl
25	una	DET	26	det
26	relación	NOUN	24	obj
27	de	ADP	28	case
28	amor	NOUN	26	nmod
29	y	CCONJ	30	cc
30	odio	NOUN	28	conj
31	"	PUNCT	16	punct
32	.	PUNCT	16	punct