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:
Rusted, torn corners in the stalls, unhealthy air, straight load instead of slant load can all make travelling hard, if not downright dangerous, on your horse.
Postion	Tokenization
1	Rusted
2	,
3	torn
4	corners
5	in
6	the
7	stalls
8	,
9	unhealthy
10	air
11	,
12	straight
13	load
14	instead
15	of
16	slant
17	load
18	can
19	all
20	make
21	travelling
22	hard
23	,
24	if
25	not
26	downright
27	dangerous
28	,
29	on
30	your
31	horse
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Rusted	VERB	4	amod
2	,	PUNCT	4	punct
3	torn	VERB	4	amod
4	corners	NOUN	20	nsubj
5	in	ADP	7	case
6	the	DET	7	det
7	stalls	NOUN	4	nmod
8	,	PUNCT	4	punct
9	unhealthy	ADJ	10	amod
10	air	NOUN	4	list
11	,	PUNCT	4	punct
12	straight	ADJ	13	amod
13	load	NOUN	4	list
14	instead	ADV	17	case
15	of	ADP	14	fixed
16	slant	ADJ	17	amod
17	load	NOUN	13	nmod
18	can	AUX	20	aux
19	all	ADV	20	advmod
20	make	VERB	0	root
21	travelling	VERB	20	obj
22	hard	ADJ	20	xcomp
23	,	PUNCT	22	punct
24	if	SCONJ	27	mark
25	not	ADV	27	advmod
26	downright	ADV	27	advmod
27	dangerous	ADJ	22	advcl
28	,	PUNCT	22	punct
29	on	ADP	31	case
30	your	PRON	31	nmod:poss
31	horse	NOUN	22	obl
32	.	PUNCT	20	punct