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:
El equipo blanco, cuyo juego no gusta a casi nadie, puede presumir, sin embargo, de ser el que menos partidos ha perdido (5) y el que más puntos ha sumado a domicilio (25).
Postion	Tokenization
1	El
2	equipo
3	blanco
4	,
5	cuyo
6	juego
7	no
8	gusta
9	a
10	casi
11	nadie
12	,
13	puede
14	presumir
15	,
16	sin
17	embargo
18	,
19	de
20	ser
21	el
22	que
23	menos
24	partidos
25	ha
26	perdido
27	(
28	5
29	)
30	y
31	el
32	que
33	más
34	puntos
35	ha
36	sumado
37	a
38	domicilio
39	(
40	25
41	)
42	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	equipo	NOUN	14	nsubj
3	blanco	ADJ	2	amod
4	,	PUNCT	8	punct
5	cuyo	PRON	6	nmod
6	juego	NOUN	8	nsubj
7	no	ADV	8	advmod
8	gusta	VERB	2	acl
9	a	ADP	11	case
10	casi	ADV	11	advmod
11	nadie	PRON	8	obj
12	,	PUNCT	8	punct
13	puede	AUX	14	aux
14	presumir	VERB	0	root
15	,	PUNCT	16	punct
16	sin	ADP	14	advmod
17	embargo	NOUN	16	fixed
18	,	PUNCT	16	punct
19	de	ADP	26	mark
20	ser	AUX	26	cop
21	el	DET	26	det
22	que	PRON	26	nsubj
23	menos	ADV	24	advmod
24	partidos	NOUN	26	obj
25	ha	AUX	26	aux
26	perdido	VERB	14	xcomp
27	(	PUNCT	28	punct
28	5	NUM	26	obj
29	)	PUNCT	28	punct
30	y	CCONJ	36	cc
31	el	DET	36	det
32	que	PRON	36	nsubj
33	más	ADV	34	advmod
34	puntos	NOUN	36	obj
35	ha	AUX	36	aux
36	sumado	VERB	26	conj
37	a	ADP	38	case
38	domicilio	NOUN	36	obl
39	(	PUNCT	40	punct
40	25	NUM	36	obj
41	)	PUNCT	40	punct
42	.	PUNCT	14	punct