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:
Se siente más fuerte que nunca, ajeno a cualquier inquietud, convencido de que va por el buen camino y de que ningún obstáculo le detendrá en su carrera hacia el título.
Postion	Tokenization
1	Se
2	siente
3	más
4	fuerte
5	que
6	nunca
7	,
8	ajeno
9	a
10	cualquier
11	inquietud
12	,
13	convencido
14	de
15	que
16	va
17	por
18	el
19	buen
20	camino
21	y
22	de
23	que
24	ningún
25	obstáculo
26	le
27	detendrá
28	en
29	su
30	carrera
31	hacia
32	el
33	título
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Se	PRON	2	expl:pv
2	siente	VERB	0	root
3	más	ADV	4	advmod
4	fuerte	ADJ	2	obj
5	que	SCONJ	6	mark
6	nunca	ADV	4	advmod
7	,	PUNCT	8	punct
8	ajeno	ADJ	2	amod
9	a	ADP	11	case
10	cualquier	DET	11	det
11	inquietud	NOUN	8	nmod
12	,	PUNCT	8	punct
13	convencido	ADJ	8	advmod
14	de	ADP	16	mark
15	que	SCONJ	16	mark
16	va	VERB	13	ccomp
17	por	ADP	20	case
18	el	DET	20	det
19	buen	ADJ	20	amod
20	camino	NOUN	16	obl
21	y	CCONJ	27	cc
22	de	ADP	27	mark
23	que	SCONJ	27	mark
24	ningún	DET	25	det
25	obstáculo	NOUN	27	nsubj
26	le	PRON	27	obj
27	detendrá	VERB	16	conj
28	en	ADP	30	case
29	su	DET	30	det
30	carrera	NOUN	27	obl
31	hacia	ADP	33	case
32	el	DET	33	det
33	título	NOUN	30	nmod
34	.	PUNCT	2	punct