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:
Las derrotas, que ya llegan a 18 en lo que va de los partidos de exhibición, han hecho que la paciencia de Steinbrenner se termine, por lo que ya quiere soluciones.
Postion	Tokenization
1	Las
2	derrotas
3	,
4	que
5	ya
6	llegan
7	a
8	18
9	en
10	lo
11	que
12	va
13	de
14	los
15	partidos
16	de
17	exhibición
18	,
19	han
20	hecho
21	que
22	la
23	paciencia
24	de
25	Steinbrenner
26	se
27	termine
28	,
29	por
30	lo
31	que
32	ya
33	quiere
34	soluciones
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	derrotas	NOUN	20	nsubj
3	,	PUNCT	6	punct
4	que	PRON	6	nsubj
5	ya	ADV	6	advmod
6	llegan	VERB	2	acl
7	a	ADP	8	case
8	18	NUM	6	obj
9	en	ADP	12	mark
10	lo	PRON	12	det
11	que	PRON	12	nsubj
12	va	VERB	6	advcl
13	de	ADP	15	case
14	los	DET	15	det
15	partidos	NOUN	12	obl
16	de	ADP	17	case
17	exhibición	NOUN	15	nmod
18	,	PUNCT	6	punct
19	han	AUX	20	aux
20	hecho	VERB	0	root
21	que	SCONJ	27	mark
22	la	DET	23	det
23	paciencia	NOUN	27	nsubj
24	de	ADP	25	case
25	Steinbrenner	PROPN	23	nmod
26	se	PRON	27	expl:pv
27	termine	VERB	20	ccomp
28	,	PUNCT	33	punct
29	por	ADP	33	mark
30	lo	PRON	33	det
31	que	PRON	33	obl
32	ya	ADV	33	advmod
33	quiere	VERB	20	advcl
34	soluciones	NOUN	33	obj
35	.	PUNCT	20	punct