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:
Sin embargo, este año sólo han sido cinco triunfos en los partidos de exhibición y la marca ha hecho que a Steinbrenner, que llegó feliz a su cuartel de Legends Field en Tampa (Florida), se le haya ido la sonrisa de su cara y no se sienta cómodo.
Postion	Tokenization
1	Sin
2	embargo
3	,
4	este
5	año
6	sólo
7	han
8	sido
9	cinco
10	triunfos
11	en
12	los
13	partidos
14	de
15	exhibición
16	y
17	la
18	marca
19	ha
20	hecho
21	que
22	a
23	Steinbrenner
24	,
25	que
26	llegó
27	feliz
28	a
29	su
30	cuartel
31	de
32	Legends
33	Field
34	en
35	Tampa
36	(
37	Florida
38	)
39	,
40	se
41	le
42	haya
43	ido
44	la
45	sonrisa
46	de
47	su
48	cara
49	y
50	no
51	se
52	sienta
53	cómodo
54	.
Position	Tokenization	UPOS	Head	Deprel
1	Sin	ADP	10	advmod
2	embargo	NOUN	1	fixed
3	,	PUNCT	1	punct
4	este	DET	5	det
5	año	NOUN	10	obl
6	sólo	ADV	10	advmod
7	han	AUX	10	aux
8	sido	AUX	10	cop
9	cinco	NUM	10	nummod
10	triunfos	NOUN	0	root
11	en	ADP	13	case
12	los	DET	13	det
13	partidos	NOUN	10	nmod
14	de	ADP	15	case
15	exhibición	NOUN	13	nmod
16	y	CCONJ	20	cc
17	la	DET	18	det
18	marca	NOUN	20	nsubj
19	ha	AUX	20	aux
20	hecho	VERB	10	conj
21	que	SCONJ	43	mark
22	a	ADP	23	case
23	Steinbrenner	PROPN	43	obj
24	,	PUNCT	26	punct
25	que	PRON	26	nsubj
26	llegó	VERB	23	acl
27	feliz	ADJ	26	advmod
28	a	ADP	30	case
29	su	DET	30	det
30	cuartel	NOUN	26	obl
31	de	ADP	32	case
32	Legends	PROPN	30	nmod
33	Field	PROPN	32	flat
34	en	ADP	35	case
35	Tampa	PROPN	30	nmod
36	(	PUNCT	37	punct
37	Florida	PROPN	35	flat
38	)	PUNCT	37	punct
39	,	PUNCT	26	punct
40	se	PRON	43	expl:pv
41	le	PRON	43	obj
42	haya	AUX	43	aux
43	ido	VERB	20	ccomp
44	la	DET	45	det
45	sonrisa	NOUN	43	nsubj
46	de	ADP	48	case
47	su	DET	48	det
48	cara	NOUN	45	nmod
49	y	CCONJ	52	cc
50	no	ADV	52	advmod
51	se	PRON	52	expl:pv
52	sienta	VERB	43	conj
53	cómodo	ADJ	52	obj
54	.	PUNCT	10	punct