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:
Espanyol y Valladolid vencieron a Racing y Real Sociedad, respectivamente, y se sitúan en una zona de la tabla que les permite disfrutar de cierta tranquilidad, mientras que el equipo cántabro y el donostiarra siguen al borde del abismo.
Postion	Tokenization
1	Espanyol
2	y
3	Valladolid
4	vencieron
5	a
6	Racing
7	y
8	Real
9	Sociedad
10	,
11	respectivamente
12	,
13	y
14	se
15	sitúan
16	en
17	una
18	zona
19	de
20	la
21	tabla
22	que
23	les
24	permite
25	disfrutar
26	de
27	cierta
28	tranquilidad
29	,
30	mientras
31	que
32	el
33	equipo
34	cántabro
35	y
36	el
37	donostiarra
38	siguen
39	al
40	borde
41	del
42	abismo
43	.
Position	Tokenization	UPOS	Head	Deprel
1	Espanyol	PROPN	4	nsubj
2	y	CCONJ	3	cc
3	Valladolid	PROPN	1	conj
4	vencieron	VERB	0	root
5	a	ADP	6	case
6	Racing	PROPN	4	obj
7	y	CCONJ	8	cc
8	Real	PROPN	6	conj
9	Sociedad	PROPN	8	flat
10	,	PUNCT	11	punct
11	respectivamente	ADV	6	advmod
12	,	PUNCT	11	punct
13	y	CCONJ	30	cc
14	se	PRON	15	expl:pv
15	sitúan	VERB	30	parataxis
16	en	ADP	18	case
17	una	DET	18	det
18	zona	NOUN	15	obl
19	de	ADP	21	case
20	la	DET	21	det
21	tabla	NOUN	18	nmod
22	que	PRON	24	nsubj
23	les	PRON	24	iobj
24	permite	VERB	18	acl
25	disfrutar	VERB	24	xcomp
26	de	ADP	28	case
27	cierta	DET	28	det
28	tranquilidad	NOUN	25	obj
29	,	PUNCT	30	punct
30	mientras	CCONJ	4	conj
31	que	SCONJ	30	fixed
32	el	DET	33	det
33	equipo	NOUN	38	nsubj
34	cántabro	ADJ	33	amod
35	y	CCONJ	37	cc
36	el	DET	37	det
37	donostiarra	NOUN	33	conj
38	siguen	VERB	30	parataxis
39	al	ADP	42	case
40	borde	NOUN	39	fixed
41	del	ADP	39	fixed
42	abismo	NOUN	38	obl
43	.	PUNCT	4	punct