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, por debajo de 59 K a cae bruscamente y la sustancia se comporta como un semiconductor, a consecuencia del mencionado - efecto Peierls -, en cierto modo análogo al efecto Jan-Teller.
Postion	Tokenization
1	Sin
2	embargo
3	,
4	por
5	debajo
6	de
7	59
8	K
9	a
10	cae
11	bruscamente
12	y
13	la
14	sustancia
15	se
16	comporta
17	como
18	un
19	semiconductor
20	,
21	a
22	consecuencia
23	del
24	mencionado
25	-
26	efecto
27	Peierls
28	-
29	,
30	en
31	cierto
32	modo
33	análogo
34	al
35	efecto
36	Jan-Teller
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Sin	ADP	10	advmod
2	embargo	NOUN	1	fixed
3	,	PUNCT	1	punct
4	por	ADP	8	case
5	debajo	ADV	4	fixed
6	de	ADP	4	fixed
7	59	NUM	8	nummod
8	K	NOUN	10	obl
9	a	NOUN	10	nsubj
10	cae	VERB	0	root
11	bruscamente	ADV	10	advmod
12	y	CCONJ	16	cc
13	la	DET	14	det
14	sustancia	NOUN	16	nsubj
15	se	PRON	16	expl:pv
16	comporta	VERB	10	conj
17	como	SCONJ	19	mark
18	un	DET	19	det
19	semiconductor	NOUN	16	obl
20	,	PUNCT	26	punct
21	a	ADP	26	case
22	consecuencia	NOUN	21	fixed
23	del	ADP	21	fixed
24	mencionado	ADJ	26	amod
25	-	PUNCT	26	punct
26	efecto	NOUN	16	obl
27	Peierls	PROPN	26	appos
28	-	PUNCT	26	punct
29	,	PUNCT	33	punct
30	en	ADP	33	advmod
31	cierto	ADJ	30	fixed
32	modo	NOUN	30	fixed
33	análogo	ADJ	26	amod
34	al	ADP	35	case
35	efecto	NOUN	33	nmod
36	Jan-Teller	PROPN	35	appos
37	.	PUNCT	10	punct